In this project, you'll define and train a Generative Adverserial network of your own creation on a dataset of faces. Your goal is to get a generator network to generate new images of faces that look as realistic as possible!
The project will be broken down into a series of tasks from defining new architectures training adversarial networks. At the end of the notebook, you'll be able to visualize the results of your trained Generator to see how it performs; your generated samples should look like fairly realistic faces with small amounts of noise.
You'll be using the CelebFaces Attributes Dataset (CelebA) to train your adversarial networks.
This dataset has higher resolution images than datasets you have previously worked with (like MNIST or SVHN) you've been working with, and so, you should prepare to define deeper networks and train them for a longer time to get good results. It is suggested that you utilize a GPU for training.
Since the project's main focus is on building the GANs, we've done some of the pre-processing for you. Each of the CelebA images has been cropped to remove parts of the image that don't include a face, then resized down to 64x64x3 NumPy images. Some sample data is show below.

If you are working locally, you can download this data by clicking here
This is a zip file that you'll need to extract in the home directory of this notebook for further loading and processing. After extracting the data, you should be left with a directory of data processed-celeba-small/.
# run this once to unzip the file
#!unzip processed-celeba-small.zip
from glob import glob
from typing import Tuple, Callable, Dict
import torch.nn as nn
import matplotlib.pyplot as plt
import numpy as np
import torch
from PIL import Image
from torch.utils.data import DataLoader, Dataset
from torchvision.transforms import Compose, Resize, ToTensor, Normalize , CenterCrop
import pathlib
import tests
data_dir = 'processed_celeba_small/celeba/'
The CelebA dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations, you'll only need the images. Note that these are color images with 3 color channels (RGB)#RGB_Images) each.
Since the project's main focus is on building the GANs, we've done some of the pre-processing for you. Each of the CelebA images has been cropped to remove parts of the image that don't include a face, then resized down to 64x64x3 NumPy images. This pre-processed dataset is a smaller subset of the very large CelebA dataset and contains roughly 30,000 images.
Your first task consists in building the dataloader. To do so, you need to do the following:
The get_transforms function should output a torchvision.transforms.Compose of different transformations. You have two constraints:
def get_transforms(size: Tuple[int, int]) -> Callable:
""" Transforms to apply to the image."""
# TODO: edit this function by appening transforms to the below list
transforms = [Resize(size[0]),
CenterCrop(size[0]),
ToTensor()
]
#Normalize([0.5, 0.5, 0.5],[0.5, 0.5, 0.5])
return Compose(transforms)
The DatasetDirectory class is a torch Dataset that reads from the above data directory. The __getitem__ method should output a transformed tensor and the __len__ method should output the number of files in our dataset. You can look at this custom dataset for ideas.
class DatasetDirectory(Dataset):
"""
A custom dataset class that loads images from folder.
args:
- directory: location of the images
- transform: transform function to apply to the images
- extension: file format
"""
def __init__(self,
directory: str,
transforms: Callable = None,
extension: str = '.jpg'):
self.img_dir = list(pathlib.Path(directory).glob('*'+extension))
self.transform = transforms
# TODO: implement the init method
def __len__(self) -> int:
""" returns the number of items in the dataset """
# TODO: return the number of elements in the dataset
return len(self.img_dir)
def __getitem__(self, index: int) -> torch.Tensor:
""" load an image and apply transformation """
# TODO: return the index-element of the dataset
image_path = self.img_dir[index]
img = Image.open(image_path)
image = self.transform(img)
return image
"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
# run this cell to verify your dataset implementation
dataset = DatasetDirectory(data_dir, get_transforms((64, 64)))
tests.check_dataset_outputs(dataset)
Congrats, your dataset implementation passed all the tests
The functions below will help you visualize images from the dataset.
"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
def denormalize(images):
"""Transform images from [-1.0, 1.0] to [0, 255] and cast them to uint8."""
return ((images + 1.) / 2. * 255).astype(np.uint8)
# plot the images in the batch, along with the corresponding labels
fig = plt.figure(figsize=(20, 4))
plot_size=20
for idx in np.arange(plot_size):
ax = fig.add_subplot(2, int(plot_size/2), idx+1, xticks=[], yticks=[])
img = dataset[idx].numpy()
img = np.transpose(img, (1, 2, 0))
img = denormalize(img)
ax.imshow(img)
As you know, a GAN is comprised of two adversarial networks, a discriminator and a generator. Now that we have a working data pipeline, we need to implement the discriminator and the generator.
Feel free to implement any additional class or function.
The discriminator's job is to score real and fake images. You have two constraints here:
Feel free to get inspiration from the different architectures we talked about in the course, such as DCGAN, WGAN-GP or DRAGAN.
Conv2d layers with the correct hyperparameters or Pooling layers.# helper scale function
def scale(x, feature_range=(-1, 1)):
''' Scale takes in an image x and returns that image, scaled
with a feature_range of pixel values from -1 to 1.
This function assumes that the input x is already scaled from 0-1.'''
# assume x is scaled to (0, 1)
# scale to feature_range and return scaled x
####
arr_min, arr_max = feature_range
x = x * (arr_max - arr_min) + arr_min
####
return x
def weights_init(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
nn.init.normal_(m.weight.data, 0.0, 0.02)
from torch.nn import Module
class ConvBlock(Module):
"""
A convolutional block is made of 3 layers: Conv -> BatchNorm -> Activation.
args:
- in_channels: number of channels in the input to the conv layer
- out_channels: number of filters in the conv layer
- kernel_size: filter dimension of the conv layer
- batch_norm: whether to use batch norm or not
"""
def __init__(self, in_channels: int, out_channels: int, kernel_size: int, batch_norm: bool = True):
super(ConvBlock, self).__init__()
self.conv = torch.nn.Conv2d(in_channels, out_channels, kernel_size, stride=2, padding=1, bias=False)
self.batch_norm = batch_norm
if self.batch_norm:
self.bn = torch.nn.BatchNorm2d(out_channels)
self.activation = torch.nn.LeakyReLU(0.2)
def forward(self, x: torch.Tensor) -> torch.Tensor:
x = self.conv(x)
if self.batch_norm:
x = self.bn(x)
x = self.activation(x)
return x
class Discriminator(Module):
def __init__(self):
super(Discriminator, self).__init__()
# TODO: instantiate the different layers
# complete init function
ndf = 64
nc = 3
self.main = nn.Sequential(
# input is ``(nc) x 64 x 64``
nn.Conv2d(nc, ndf, 4, 2, 1, bias=False),
nn.LeakyReLU(0.2, inplace=True),
# state size. ``(ndf) x 32 x 32``
nn.Conv2d(ndf, ndf * 2, 4, 2, 1, bias=False),
nn.BatchNorm2d(ndf * 2),
nn.LeakyReLU(0.2, inplace=True),
# state size. ``(ndf*2) x 16 x 16``
nn.Conv2d(ndf * 2, ndf * 4, 4, 2, 1, bias=False),
nn.BatchNorm2d(ndf * 4),
nn.LeakyReLU(0.2, inplace=True),
# state size. ``(ndf*4) x 8 x 8``
nn.Conv2d(ndf * 4, ndf * 8, 4, 2, 1, bias=False),
nn.BatchNorm2d(ndf * 8),
nn.LeakyReLU(0.2, inplace=True),
# state size. ``(ndf*8) x 4 x 4``
nn.Conv2d(ndf * 8, 1, 4, 1, 0, bias=False),
#nn.Dropout(p=0.2),
#nn.Linear(ndf*4*4, 1),
#nn.Sigmoid()
)
#nn.Sigmoid()
def forward(self, x: torch.Tensor) -> torch.Tensor:
# TODO: implement the forward method
x = self.main(x)
return x
discriminator = Discriminator()
discriminator.apply(weights_init)
print(discriminator)
Discriminator(
(main): Sequential(
(0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
(1): LeakyReLU(negative_slope=0.2, inplace=True)
(2): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
(3): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(4): LeakyReLU(negative_slope=0.2, inplace=True)
(5): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
(6): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(7): LeakyReLU(negative_slope=0.2, inplace=True)
(8): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
(9): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(10): LeakyReLU(negative_slope=0.2, inplace=True)
(11): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), bias=False)
)
)
"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
# run this cell to check your discriminator implementation
discriminator = Discriminator()
tests.check_discriminator(discriminator)
Congrats, your discriminator implementation passed all the tests
The generator's job creates the "fake images" and learns the dataset distribution. You have three constraints here:
[batch_size, latent_dimension, 1, 1]Feel free to get inspiration from the different architectures we talked about in the course, such as DCGAN, WGAN-GP or DRAGAN.
ConvTranspose2d layersclass Generator(Module):
def __init__(self, latent_dim: int):
super(Generator, self).__init__()
# TODO: instantiate the different layers
ngf = 64
self.main = nn.Sequential(
# input is Z, going into a convolution
nn.ConvTranspose2d( latent_dim, ngf * 8, 4, 1, 0, bias=False),
nn.BatchNorm2d(ngf * 8),
nn.ReLU(True),
# state size. ``(ngf*8) x 4 x 4``
nn.ConvTranspose2d(ngf * 8, ngf * 4, 4, 2, 1, bias=False),
nn.BatchNorm2d(ngf * 4),
nn.ReLU(True),
# state size. ``(ngf*4) x 8 x 8``
nn.ConvTranspose2d( ngf * 4, ngf * 2, 4, 2, 1, bias=False),
nn.BatchNorm2d(ngf * 2),
nn.ReLU(True),
# state size. ``(ngf*2) x 16 x 16``
nn.ConvTranspose2d( ngf * 2, ngf, 4, 2, 1, bias=False),
nn.BatchNorm2d(ngf),
nn.ReLU(True),
# state size. ``(ngf) x 32 x 32``
nn.ConvTranspose2d(ngf, 3, 4, 2, 1, bias=False),
nn.Tanh()
# state size. ``(nc) x 64 x 64``
)
def forward(self, x: torch.Tensor) -> torch.Tensor:
# TODO: implement the forward method
x = self.main(x)
return x
generator = Generator(128)
generator.apply(weights_init)
print(generator)
Generator(
(main): Sequential(
(0): ConvTranspose2d(128, 512, kernel_size=(4, 4), stride=(1, 1), bias=False)
(1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU(inplace=True)
(3): ConvTranspose2d(512, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
(4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(5): ReLU(inplace=True)
(6): ConvTranspose2d(256, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
(7): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(8): ReLU(inplace=True)
(9): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
(10): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(11): ReLU(inplace=True)
(12): ConvTranspose2d(64, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
(13): Tanh()
)
)
"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
# run this cell to verify your generator implementation
latent_dim = 128
generator = Generator(latent_dim)
tests.check_generator(generator, latent_dim)
Congrats, your generator implementation passed all the tests
In the following section, we create the optimizers for the generator and discriminator. You may want to experiment with different optimizers, learning rates and other hyperparameters as they tend to impact the output quality.
import torch.optim as optim
def create_optimizers(generator: Module, discriminator: Module):
""" This function should return the optimizers of the generator and the discriminator """
# TODO: implement the generator and discriminator optimizers
lr = 0.0002
beta1 = 0.5
beta2 = 0.999
g_optimizer = torch.optim.Adam(generator.parameters(), lr, [beta1, beta2])
d_optimizer = torch.optim.Adam(discriminator.parameters(), lr, [beta1, beta2])
return g_optimizer, d_optimizer
In this section, we are going to implement the loss function for the generator and the discriminator. You can and should experiment with different loss function.
Some tips:
The generator's goal is to get the discriminator to think its generated images (= "fake" images) are real.
import torch
# Check for a GPU
train_on_gpu = torch.cuda.is_available()
if not train_on_gpu:
print('No GPU')
else:
print('Training on GPU!')
Training on GPU!
def generator_loss(fake_logits):
""" Generator loss, takes the fake scores as inputs. """
# TODO: implement the generator loss
"""
Wasserstein Generator Loss
args:
- fake_logits: vector of logits outputed by the discriminator with a fake input image
"""
loss = -fake_logits.mean()
return loss
def fake_loss(D_out):
batch_size = D_out.size(0)
labels = torch.zeros(batch_size) # fake labels = 0
if train_on_gpu:
labels = labels.cuda()
criterion = nn.BCEWithLogitsLoss()
# calculate loss
loss = criterion(D_out.squeeze(), labels)
return loss
We want the discriminator to give high scores to real images and low scores to fake ones and the discriminator loss should reflect that.
def discriminator_loss(real_logits, fake_logits):
""" Discriminator loss, takes the fake and real logits as inputs. """
# TODO: implement the discriminator loss
"""
Wasserstein Discriminator Loss
args:
- real_logits: vector of logits outputed by the discriminator with a real input image
- fake_logits: vector of logits outputed by the discriminator with a fake input image
"""
####
real_loss = -real_logits.mean()
fake_loss = fake_logits.mean()
loss = real_loss + fake_loss
####
return loss
def real_loss(D_out, smooth=False):
batch_size = D_out.size(0)
# label smoothing
if smooth:
# smooth, real labels = 0.9
labels = torch.ones(batch_size)*0.9
else:
labels = torch.ones(batch_size) # real labels = 1
# move labels to GPU if available
if train_on_gpu:
labels = labels.cuda()
# binary cross entropy with logits loss
criterion = nn.BCEWithLogitsLoss()
# calculate loss
loss = criterion(D_out.squeeze(), labels)
return loss
In the course, we discussed the importance of gradient penalty in training certain types of Gans. Implementing this function is not required and depends on some of the design decision you made (discriminator architecture, loss functions).
def gradient_penalty(discriminator, real_samples, fake_samples):
""" This function enforces """
gp = 0
# TODO (Optional): implement the gradient penalty
####
####
return gp
def save_model(discriminator, generator, d_optimizer, g_optimizer, filename="face_dcgan_model.pt"):
data = dict(
discriminator=discriminator,
generator=generator,
d_optimizer=d_optimizer,
g_optimizer=g_optimizer
)
torch.save(data, filename)
Training will involve alternating between training the discriminator and the generator. You'll use your functions real_loss and fake_loss to help you calculate the discriminator losses.
Each function should do the following:
def generator_step(batch_size: int, latent_dim: int) -> Dict:
""" One training step of the generator. """
# TODO: implement the generator step (foward pass, loss calculation and backward pass)
g_optimizer.zero_grad()
z= np.random.uniform(-1, 1, size=(batch_size, latent_dim, 1, 1))
z= torch.from_numpy(z).float()
if train_on_gpu:
z = z.cuda()
fake_images = generator(z)
D_fake = discriminator(fake_images)
g_loss = real_loss(D_fake, True)
g_loss.backward()
g_optimizer.step()
return {'loss': g_loss}
def discriminator_step(batch_size: int, latent_dim: int, real_images: torch.Tensor) -> Dict:
""" One training step of the discriminator. """
# TODO: implement the discriminator step (foward pass, loss calculation and backward pass)
d_optimizer.zero_grad()
D_real = discriminator(real_images)
z = np.random.uniform(-1, 1, size=(batch_size, latent_dim, 1, 1))
z = torch.from_numpy(z).float()
if train_on_gpu:
z = z.cuda()
fake_images = generator(z)
D_fake = discriminator(fake_images.detach())
d_real_loss = real_loss(D_real, True)
d_fake_loss = fake_loss(D_fake)
d_loss = d_real_loss + d_fake_loss
d_loss.backward()
d_optimizer.step()
return {'loss': d_loss, 'gp': 0}
You don't have to implement anything here but you can experiment with different hyperparameters.
from datetime import datetime
import pickle as pkl
# you can experiment with different dimensions of latent spaces
latent_dim = 128
# update to cpu if you do not have access to a gpu
device = 'cuda'
# number of epochs to train your model
n_epochs = 50
# number of images in each batch
batch_size = 64
"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
print_every = 5
# Create optimizers for the discriminator D and generator G
generator = Generator(latent_dim).to(device)
discriminator = Discriminator().to(device)
g_optimizer, d_optimizer = create_optimizers(generator, discriminator)
dataloader = DataLoader(dataset,
batch_size=64,
shuffle=True,
num_workers=4,
drop_last=True,
pin_memory=False)
"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
def display(fixed_latent_vector: torch.Tensor):
""" helper function to display images during training """
fig = plt.figure(figsize=(14, 4))
plot_size = 16
for idx in np.arange(plot_size):
ax = fig.add_subplot(2, int(plot_size/2), idx+1, xticks=[], yticks=[])
img = fixed_latent_vector[idx, ...].detach().cpu().numpy()
img = np.transpose(img, (1, 2, 0))
img = denormalize(img)
ax.imshow(img)
plt.show()
You should experiment with different training strategies. For example:
Implement with your training strategy below.
fixed_latent_vector = torch.randn(16, latent_dim, 1, 1).float().cuda()
losses = []
for epoch in range(n_epochs):
for batch_i, real_images in enumerate(dataloader):
real_images = real_images.to(device)
real_images = scale(real_images)
####################################
# TODO: implement the training strategy
d_loss = discriminator_step(batch_size, latent_dim, real_images)
g_loss = generator_step(batch_size, latent_dim)
####################################
if batch_i % print_every == 0:
# append discriminator loss and generator loss
d = d_loss['loss'].item()
g = g_loss['loss'].item()
losses.append((d, g))
# print discriminator and generator loss
time = str(datetime.now()).split('.')[0]
print(f'{time} | Epoch [{epoch+1}/{n_epochs}] | Batch {batch_i}/{len(dataloader)} | d_loss: {d:.4f} | g_loss: {g:.4f}')
save_model(discriminator, generator, d_optimizer, g_optimizer)
# display images during training
generator.eval()
generated_images = generator(fixed_latent_vector)
display(generated_images)
generator.train()
with open('generated_images.pkl', 'wb') as f:
pkl.dump(generated_images, f)
2023-06-03 21:37:41 | Epoch [1/50] | Batch 0/509 | d_loss: 1.5835 | g_loss: 1.9311 2023-06-03 21:37:43 | Epoch [1/50] | Batch 5/509 | d_loss: 0.5865 | g_loss: 4.4692 2023-06-03 21:37:44 | Epoch [1/50] | Batch 10/509 | d_loss: 0.5202 | g_loss: 6.0517 2023-06-03 21:37:46 | Epoch [1/50] | Batch 15/509 | d_loss: 0.4945 | g_loss: 5.8668 2023-06-03 21:37:48 | Epoch [1/50] | Batch 20/509 | d_loss: 0.3864 | g_loss: 6.0789 2023-06-03 21:37:49 | Epoch [1/50] | Batch 25/509 | d_loss: 0.4887 | g_loss: 7.6906 2023-06-03 21:37:51 | Epoch [1/50] | Batch 30/509 | d_loss: 0.4237 | g_loss: 7.5743 2023-06-03 21:37:53 | Epoch [1/50] | Batch 35/509 | d_loss: 0.3859 | g_loss: 7.2319 2023-06-03 21:37:54 | Epoch [1/50] | Batch 40/509 | d_loss: 0.4367 | g_loss: 6.2263 2023-06-03 21:37:56 | Epoch [1/50] | Batch 45/509 | d_loss: 0.6398 | g_loss: 10.7993 2023-06-03 21:37:58 | Epoch [1/50] | Batch 50/509 | d_loss: 0.3923 | g_loss: 12.0000 2023-06-03 21:37:59 | Epoch [1/50] | Batch 55/509 | d_loss: 0.8270 | g_loss: 12.1106 2023-06-03 21:38:01 | Epoch [1/50] | Batch 60/509 | d_loss: 1.1713 | g_loss: 11.7445 2023-06-03 21:38:02 | Epoch [1/50] | Batch 65/509 | d_loss: 0.7981 | g_loss: 7.5791 2023-06-03 21:38:04 | Epoch [1/50] | Batch 70/509 | d_loss: 0.4504 | g_loss: 7.6156 2023-06-03 21:38:06 | Epoch [1/50] | Batch 75/509 | d_loss: 0.3824 | g_loss: 5.0052 2023-06-03 21:38:07 | Epoch [1/50] | Batch 80/509 | d_loss: 0.4771 | g_loss: 4.4712 2023-06-03 21:38:09 | Epoch [1/50] | Batch 85/509 | d_loss: 0.6073 | g_loss: 1.5015 2023-06-03 21:38:11 | Epoch [1/50] | Batch 90/509 | d_loss: 0.8002 | g_loss: 5.1554 2023-06-03 21:38:12 | Epoch [1/50] | Batch 95/509 | d_loss: 0.6516 | g_loss: 4.5649 2023-06-03 21:38:14 | Epoch [1/50] | Batch 100/509 | d_loss: 1.2495 | g_loss: 6.5196 2023-06-03 21:38:16 | Epoch [1/50] | Batch 105/509 | d_loss: 0.4640 | g_loss: 3.2727 2023-06-03 21:38:17 | Epoch [1/50] | Batch 110/509 | d_loss: 0.5572 | g_loss: 3.0523 2023-06-03 21:38:19 | Epoch [1/50] | Batch 115/509 | d_loss: 0.6160 | g_loss: 3.6284 2023-06-03 21:38:21 | Epoch [1/50] | Batch 120/509 | d_loss: 0.4550 | g_loss: 4.4375 2023-06-03 21:38:22 | Epoch [1/50] | Batch 125/509 | d_loss: 0.4634 | g_loss: 4.6134 2023-06-03 21:38:24 | Epoch [1/50] | Batch 130/509 | d_loss: 0.6599 | g_loss: 5.4502 2023-06-03 21:38:25 | Epoch [1/50] | Batch 135/509 | d_loss: 0.5319 | g_loss: 4.0498 2023-06-03 21:38:27 | Epoch [1/50] | Batch 140/509 | d_loss: 2.7609 | g_loss: 6.5744 2023-06-03 21:38:29 | Epoch [1/50] | Batch 145/509 | d_loss: 0.4799 | g_loss: 3.2045 2023-06-03 21:38:30 | Epoch [1/50] | Batch 150/509 | d_loss: 0.4697 | g_loss: 3.9035 2023-06-03 21:38:32 | Epoch [1/50] | Batch 155/509 | d_loss: 0.5113 | g_loss: 3.1345 2023-06-03 21:38:34 | Epoch [1/50] | Batch 160/509 | d_loss: 0.4632 | g_loss: 2.5036 2023-06-03 21:38:35 | Epoch [1/50] | Batch 165/509 | d_loss: 0.5874 | g_loss: 3.1359 2023-06-03 21:38:37 | Epoch [1/50] | Batch 170/509 | d_loss: 0.6334 | g_loss: 4.0309 2023-06-03 21:38:39 | Epoch [1/50] | Batch 175/509 | d_loss: 0.9028 | g_loss: 4.1402 2023-06-03 21:38:40 | Epoch [1/50] | Batch 180/509 | d_loss: 0.5074 | g_loss: 4.2628 2023-06-03 21:38:42 | Epoch [1/50] | Batch 185/509 | d_loss: 0.9869 | g_loss: 6.4001 2023-06-03 21:38:44 | Epoch [1/50] | Batch 190/509 | d_loss: 0.6415 | g_loss: 3.8061 2023-06-03 21:38:45 | Epoch [1/50] | Batch 195/509 | d_loss: 2.5643 | g_loss: 8.2470 2023-06-03 21:38:47 | Epoch [1/50] | Batch 200/509 | d_loss: 0.6418 | g_loss: 3.1825 2023-06-03 21:38:48 | Epoch [1/50] | Batch 205/509 | d_loss: 0.8012 | g_loss: 4.9178 2023-06-03 21:38:50 | Epoch [1/50] | Batch 210/509 | d_loss: 0.7674 | g_loss: 4.3393 2023-06-03 21:38:52 | Epoch [1/50] | Batch 215/509 | d_loss: 0.8633 | g_loss: 3.5345 2023-06-03 21:38:53 | Epoch [1/50] | Batch 220/509 | d_loss: 0.5186 | g_loss: 3.3016 2023-06-03 21:38:55 | Epoch [1/50] | Batch 225/509 | d_loss: 0.5659 | g_loss: 3.0067 2023-06-03 21:38:57 | Epoch [1/50] | Batch 230/509 | d_loss: 0.5832 | g_loss: 2.4876 2023-06-03 21:38:58 | Epoch [1/50] | Batch 235/509 | d_loss: 0.6213 | g_loss: 2.8506 2023-06-03 21:39:00 | Epoch [1/50] | Batch 240/509 | d_loss: 0.7023 | g_loss: 1.3525 2023-06-03 21:39:01 | Epoch [1/50] | Batch 245/509 | d_loss: 0.9392 | g_loss: 2.0915 2023-06-03 21:39:03 | Epoch [1/50] | Batch 250/509 | d_loss: 0.6160 | g_loss: 2.2782 2023-06-03 21:39:05 | Epoch [1/50] | Batch 255/509 | d_loss: 0.7095 | g_loss: 2.3758 2023-06-03 21:39:06 | Epoch [1/50] | Batch 260/509 | d_loss: 0.5290 | g_loss: 2.1475 2023-06-03 21:39:08 | Epoch [1/50] | Batch 265/509 | d_loss: 0.7792 | g_loss: 2.4778 2023-06-03 21:39:10 | Epoch [1/50] | Batch 270/509 | d_loss: 0.4948 | g_loss: 3.6167 2023-06-03 21:39:11 | Epoch [1/50] | Batch 275/509 | d_loss: 0.9927 | g_loss: 6.3643 2023-06-03 21:39:13 | Epoch [1/50] | Batch 280/509 | d_loss: 0.7626 | g_loss: 4.3021 2023-06-03 21:39:15 | Epoch [1/50] | Batch 285/509 | d_loss: 0.6348 | g_loss: 3.2938 2023-06-03 21:39:16 | Epoch [1/50] | Batch 290/509 | d_loss: 0.6758 | g_loss: 3.0576 2023-06-03 21:39:18 | Epoch [1/50] | Batch 295/509 | d_loss: 0.5025 | g_loss: 2.8881 2023-06-03 21:39:19 | Epoch [1/50] | Batch 300/509 | d_loss: 0.4171 | g_loss: 3.4117 2023-06-03 21:39:21 | Epoch [1/50] | Batch 305/509 | d_loss: 0.9645 | g_loss: 2.7109 2023-06-03 21:39:23 | Epoch [1/50] | Batch 310/509 | d_loss: 0.5659 | g_loss: 4.3086 2023-06-03 21:39:24 | Epoch [1/50] | Batch 315/509 | d_loss: 0.7237 | g_loss: 4.1636 2023-06-03 21:39:26 | Epoch [1/50] | Batch 320/509 | d_loss: 0.4826 | g_loss: 2.0767 2023-06-03 21:39:28 | Epoch [1/50] | Batch 325/509 | d_loss: 0.4980 | g_loss: 2.6783 2023-06-03 21:39:29 | Epoch [1/50] | Batch 330/509 | d_loss: 0.5065 | g_loss: 3.0527 2023-06-03 21:39:31 | Epoch [1/50] | Batch 335/509 | d_loss: 3.7804 | g_loss: 3.1655 2023-06-03 21:39:32 | Epoch [1/50] | Batch 340/509 | d_loss: 0.7122 | g_loss: 3.2948 2023-06-03 21:39:34 | Epoch [1/50] | Batch 345/509 | d_loss: 0.7695 | g_loss: 4.8821 2023-06-03 21:39:36 | Epoch [1/50] | Batch 350/509 | d_loss: 0.5679 | g_loss: 3.3756 2023-06-03 21:39:37 | Epoch [1/50] | Batch 355/509 | d_loss: 0.6744 | g_loss: 4.3464 2023-06-03 21:39:39 | Epoch [1/50] | Batch 360/509 | d_loss: 0.7088 | g_loss: 1.6895 2023-06-03 21:39:41 | Epoch [1/50] | Batch 365/509 | d_loss: 0.7365 | g_loss: 3.8643 2023-06-03 21:39:42 | Epoch [1/50] | Batch 370/509 | d_loss: 0.5771 | g_loss: 3.0965 2023-06-03 21:39:44 | Epoch [1/50] | Batch 375/509 | d_loss: 0.9540 | g_loss: 5.7830 2023-06-03 21:39:46 | Epoch [1/50] | Batch 380/509 | d_loss: 0.5885 | g_loss: 3.4731 2023-06-03 21:39:47 | Epoch [1/50] | Batch 385/509 | d_loss: 0.5496 | g_loss: 4.3442 2023-06-03 21:39:49 | Epoch [1/50] | Batch 390/509 | d_loss: 1.0486 | g_loss: 6.4198 2023-06-03 21:39:50 | Epoch [1/50] | Batch 395/509 | d_loss: 0.5576 | g_loss: 3.2348 2023-06-03 21:39:52 | Epoch [1/50] | Batch 400/509 | d_loss: 0.5842 | g_loss: 2.7299 2023-06-03 21:39:54 | Epoch [1/50] | Batch 405/509 | d_loss: 0.7838 | g_loss: 2.1073 2023-06-03 21:39:55 | Epoch [1/50] | Batch 410/509 | d_loss: 0.8267 | g_loss: 3.0039 2023-06-03 21:39:57 | Epoch [1/50] | Batch 415/509 | d_loss: 0.9537 | g_loss: 1.6989 2023-06-03 21:39:59 | Epoch [1/50] | Batch 420/509 | d_loss: 0.8274 | g_loss: 3.4519 2023-06-03 21:40:00 | Epoch [1/50] | Batch 425/509 | d_loss: 0.8863 | g_loss: 4.3368 2023-06-03 21:40:02 | Epoch [1/50] | Batch 430/509 | d_loss: 0.8440 | g_loss: 4.0031 2023-06-03 21:40:04 | Epoch [1/50] | Batch 435/509 | d_loss: 0.7845 | g_loss: 2.4939 2023-06-03 21:40:05 | Epoch [1/50] | Batch 440/509 | d_loss: 1.5249 | g_loss: 3.0563 2023-06-03 21:40:07 | Epoch [1/50] | Batch 445/509 | d_loss: 0.9270 | g_loss: 3.2465 2023-06-03 21:40:08 | Epoch [1/50] | Batch 450/509 | d_loss: 0.7560 | g_loss: 4.4123 2023-06-03 21:40:10 | Epoch [1/50] | Batch 455/509 | d_loss: 0.5292 | g_loss: 3.9892 2023-06-03 21:40:12 | Epoch [1/50] | Batch 460/509 | d_loss: 0.6104 | g_loss: 3.5822 2023-06-03 21:40:13 | Epoch [1/50] | Batch 465/509 | d_loss: 0.5167 | g_loss: 2.2013 2023-06-03 21:40:15 | Epoch [1/50] | Batch 470/509 | d_loss: 0.8057 | g_loss: 2.5015 2023-06-03 21:40:17 | Epoch [1/50] | Batch 475/509 | d_loss: 0.7249 | g_loss: 3.3677 2023-06-03 21:40:18 | Epoch [1/50] | Batch 480/509 | d_loss: 0.9799 | g_loss: 3.3120 2023-06-03 21:40:20 | Epoch [1/50] | Batch 485/509 | d_loss: 0.6533 | g_loss: 5.1643 2023-06-03 21:40:21 | Epoch [1/50] | Batch 490/509 | d_loss: 0.7082 | g_loss: 4.8572 2023-06-03 21:40:23 | Epoch [1/50] | Batch 495/509 | d_loss: 1.3234 | g_loss: 7.1662 2023-06-03 21:40:25 | Epoch [1/50] | Batch 500/509 | d_loss: 0.7374 | g_loss: 2.5197 2023-06-03 21:40:26 | Epoch [1/50] | Batch 505/509 | d_loss: 0.7268 | g_loss: 3.1832
2023-06-03 21:40:29 | Epoch [2/50] | Batch 0/509 | d_loss: 0.6180 | g_loss: 2.5981 2023-06-03 21:40:31 | Epoch [2/50] | Batch 5/509 | d_loss: 0.8218 | g_loss: 2.9932 2023-06-03 21:40:32 | Epoch [2/50] | Batch 10/509 | d_loss: 0.5479 | g_loss: 3.3539 2023-06-03 21:40:34 | Epoch [2/50] | Batch 15/509 | d_loss: 0.5995 | g_loss: 4.7399 2023-06-03 21:40:35 | Epoch [2/50] | Batch 20/509 | d_loss: 0.5461 | g_loss: 3.7629 2023-06-03 21:40:37 | Epoch [2/50] | Batch 25/509 | d_loss: 0.5140 | g_loss: 3.3452 2023-06-03 21:40:39 | Epoch [2/50] | Batch 30/509 | d_loss: 0.7950 | g_loss: 2.2128 2023-06-03 21:40:40 | Epoch [2/50] | Batch 35/509 | d_loss: 0.5119 | g_loss: 3.4314 2023-06-03 21:40:42 | Epoch [2/50] | Batch 40/509 | d_loss: 0.9463 | g_loss: 5.9543 2023-06-03 21:40:44 | Epoch [2/50] | Batch 45/509 | d_loss: 1.0867 | g_loss: 1.9187 2023-06-03 21:40:45 | Epoch [2/50] | Batch 50/509 | d_loss: 0.7357 | g_loss: 3.4543 2023-06-03 21:40:47 | Epoch [2/50] | Batch 55/509 | d_loss: 2.1077 | g_loss: 4.3404 2023-06-03 21:40:49 | Epoch [2/50] | Batch 60/509 | d_loss: 0.7942 | g_loss: 4.3771 2023-06-03 21:40:50 | Epoch [2/50] | Batch 65/509 | d_loss: 0.7065 | g_loss: 3.3648 2023-06-03 21:40:52 | Epoch [2/50] | Batch 70/509 | d_loss: 0.6194 | g_loss: 4.3864 2023-06-03 21:40:53 | Epoch [2/50] | Batch 75/509 | d_loss: 0.4888 | g_loss: 3.8477 2023-06-03 21:40:55 | Epoch [2/50] | Batch 80/509 | d_loss: 0.6984 | g_loss: 5.3109 2023-06-03 21:40:57 | Epoch [2/50] | Batch 85/509 | d_loss: 0.6176 | g_loss: 3.6006 2023-06-03 21:40:58 | Epoch [2/50] | Batch 90/509 | d_loss: 0.6218 | g_loss: 3.2790 2023-06-03 21:41:00 | Epoch [2/50] | Batch 95/509 | d_loss: 0.6378 | g_loss: 4.6367 2023-06-03 21:41:02 | Epoch [2/50] | Batch 100/509 | d_loss: 0.5272 | g_loss: 4.0937 2023-06-03 21:41:03 | Epoch [2/50] | Batch 105/509 | d_loss: 0.4895 | g_loss: 4.7315 2023-06-03 21:41:05 | Epoch [2/50] | Batch 110/509 | d_loss: 0.6284 | g_loss: 2.8542 2023-06-03 21:41:07 | Epoch [2/50] | Batch 115/509 | d_loss: 0.5523 | g_loss: 2.6554 2023-06-03 21:41:08 | Epoch [2/50] | Batch 120/509 | d_loss: 0.5025 | g_loss: 3.3876 2023-06-03 21:41:10 | Epoch [2/50] | Batch 125/509 | d_loss: 0.6569 | g_loss: 3.0201 2023-06-03 21:41:11 | Epoch [2/50] | Batch 130/509 | d_loss: 0.6124 | g_loss: 2.3487 2023-06-03 21:41:13 | Epoch [2/50] | Batch 135/509 | d_loss: 0.7979 | g_loss: 2.5931 2023-06-03 21:41:15 | Epoch [2/50] | Batch 140/509 | d_loss: 0.6278 | g_loss: 2.6980 2023-06-03 21:41:16 | Epoch [2/50] | Batch 145/509 | d_loss: 0.6438 | g_loss: 3.7275 2023-06-03 21:41:18 | Epoch [2/50] | Batch 150/509 | d_loss: 1.3630 | g_loss: 5.8512 2023-06-03 21:41:20 | Epoch [2/50] | Batch 155/509 | d_loss: 0.6992 | g_loss: 2.4307 2023-06-03 21:41:21 | Epoch [2/50] | Batch 160/509 | d_loss: 0.5063 | g_loss: 3.8862 2023-06-03 21:41:23 | Epoch [2/50] | Batch 165/509 | d_loss: 0.8377 | g_loss: 5.5159 2023-06-03 21:41:24 | Epoch [2/50] | Batch 170/509 | d_loss: 0.5914 | g_loss: 3.1235 2023-06-03 21:41:26 | Epoch [2/50] | Batch 175/509 | d_loss: 0.4989 | g_loss: 3.6997 2023-06-03 21:41:28 | Epoch [2/50] | Batch 180/509 | d_loss: 0.9876 | g_loss: 7.3556 2023-06-03 21:41:29 | Epoch [2/50] | Batch 185/509 | d_loss: 0.8514 | g_loss: 4.1125 2023-06-03 21:41:31 | Epoch [2/50] | Batch 190/509 | d_loss: 0.6156 | g_loss: 3.4963 2023-06-03 21:41:33 | Epoch [2/50] | Batch 195/509 | d_loss: 0.7883 | g_loss: 6.6773 2023-06-03 21:41:34 | Epoch [2/50] | Batch 200/509 | d_loss: 0.7960 | g_loss: 2.5887 2023-06-03 21:41:36 | Epoch [2/50] | Batch 205/509 | d_loss: 0.7116 | g_loss: 3.3880 2023-06-03 21:41:38 | Epoch [2/50] | Batch 210/509 | d_loss: 0.6426 | g_loss: 2.7673 2023-06-03 21:41:39 | Epoch [2/50] | Batch 215/509 | d_loss: 0.5647 | g_loss: 3.1432 2023-06-03 21:41:41 | Epoch [2/50] | Batch 220/509 | d_loss: 0.6194 | g_loss: 3.9627 2023-06-03 21:41:42 | Epoch [2/50] | Batch 225/509 | d_loss: 1.1293 | g_loss: 3.7647 2023-06-03 21:41:44 | Epoch [2/50] | Batch 230/509 | d_loss: 0.9031 | g_loss: 6.2415 2023-06-03 21:41:46 | Epoch [2/50] | Batch 235/509 | d_loss: 0.5757 | g_loss: 3.2492 2023-06-03 21:41:47 | Epoch [2/50] | Batch 240/509 | d_loss: 0.4854 | g_loss: 3.1485 2023-06-03 21:41:49 | Epoch [2/50] | Batch 245/509 | d_loss: 0.6219 | g_loss: 3.8924 2023-06-03 21:41:51 | Epoch [2/50] | Batch 250/509 | d_loss: 0.5875 | g_loss: 3.6146 2023-06-03 21:41:52 | Epoch [2/50] | Batch 255/509 | d_loss: 0.5737 | g_loss: 3.6706 2023-06-03 21:41:54 | Epoch [2/50] | Batch 260/509 | d_loss: 0.5403 | g_loss: 4.3891 2023-06-03 21:41:55 | Epoch [2/50] | Batch 265/509 | d_loss: 0.5788 | g_loss: 3.0291 2023-06-03 21:41:57 | Epoch [2/50] | Batch 270/509 | d_loss: 0.6280 | g_loss: 2.5008 2023-06-03 21:41:59 | Epoch [2/50] | Batch 275/509 | d_loss: 0.5597 | g_loss: 3.4961 2023-06-03 21:42:00 | Epoch [2/50] | Batch 280/509 | d_loss: 0.7823 | g_loss: 5.1845 2023-06-03 21:42:02 | Epoch [2/50] | Batch 285/509 | d_loss: 0.9362 | g_loss: 6.1900 2023-06-03 21:42:04 | Epoch [2/50] | Batch 290/509 | d_loss: 1.3001 | g_loss: 7.0270 2023-06-03 21:42:05 | Epoch [2/50] | Batch 295/509 | d_loss: 0.8426 | g_loss: 2.0326 2023-06-03 21:42:07 | Epoch [2/50] | Batch 300/509 | d_loss: 0.6936 | g_loss: 3.2542 2023-06-03 21:42:09 | Epoch [2/50] | Batch 305/509 | d_loss: 0.8218 | g_loss: 2.0778 2023-06-03 21:42:10 | Epoch [2/50] | Batch 310/509 | d_loss: 0.6062 | g_loss: 3.7769 2023-06-03 21:42:12 | Epoch [2/50] | Batch 315/509 | d_loss: 0.6153 | g_loss: 3.9711 2023-06-03 21:42:13 | Epoch [2/50] | Batch 320/509 | d_loss: 0.6458 | g_loss: 3.2125 2023-06-03 21:42:15 | Epoch [2/50] | Batch 325/509 | d_loss: 0.7216 | g_loss: 2.9329 2023-06-03 21:42:17 | Epoch [2/50] | Batch 330/509 | d_loss: 0.5004 | g_loss: 4.3610 2023-06-03 21:42:18 | Epoch [2/50] | Batch 335/509 | d_loss: 1.1367 | g_loss: 5.9974 2023-06-03 21:42:20 | Epoch [2/50] | Batch 340/509 | d_loss: 0.7838 | g_loss: 4.0586 2023-06-03 21:42:22 | Epoch [2/50] | Batch 345/509 | d_loss: 2.5077 | g_loss: 4.0423 2023-06-03 21:42:23 | Epoch [2/50] | Batch 350/509 | d_loss: 1.0084 | g_loss: 5.5849 2023-06-03 21:42:25 | Epoch [2/50] | Batch 355/509 | d_loss: 0.6615 | g_loss: 3.9790 2023-06-03 21:42:27 | Epoch [2/50] | Batch 360/509 | d_loss: 0.5612 | g_loss: 3.0654 2023-06-03 21:42:28 | Epoch [2/50] | Batch 365/509 | d_loss: 0.6229 | g_loss: 3.4000 2023-06-03 21:42:30 | Epoch [2/50] | Batch 370/509 | d_loss: 0.6340 | g_loss: 4.5427 2023-06-03 21:42:31 | Epoch [2/50] | Batch 375/509 | d_loss: 0.6490 | g_loss: 3.2722 2023-06-03 21:42:33 | Epoch [2/50] | Batch 380/509 | d_loss: 0.6017 | g_loss: 4.9471 2023-06-03 21:42:35 | Epoch [2/50] | Batch 385/509 | d_loss: 0.9404 | g_loss: 5.8480 2023-06-03 21:42:36 | Epoch [2/50] | Batch 390/509 | d_loss: 0.5991 | g_loss: 3.0346 2023-06-03 21:42:38 | Epoch [2/50] | Batch 395/509 | d_loss: 0.5032 | g_loss: 3.0612 2023-06-03 21:42:40 | Epoch [2/50] | Batch 400/509 | d_loss: 0.6923 | g_loss: 2.7887 2023-06-03 21:42:41 | Epoch [2/50] | Batch 405/509 | d_loss: 0.5442 | g_loss: 2.8045 2023-06-03 21:42:43 | Epoch [2/50] | Batch 410/509 | d_loss: 0.8642 | g_loss: 1.7486 2023-06-03 21:42:44 | Epoch [2/50] | Batch 415/509 | d_loss: 0.5246 | g_loss: 3.4574 2023-06-03 21:42:46 | Epoch [2/50] | Batch 420/509 | d_loss: 0.5160 | g_loss: 3.6794 2023-06-03 21:42:48 | Epoch [2/50] | Batch 425/509 | d_loss: 0.6274 | g_loss: 4.6605 2023-06-03 21:42:49 | Epoch [2/50] | Batch 430/509 | d_loss: 0.5734 | g_loss: 3.8430 2023-06-03 21:42:51 | Epoch [2/50] | Batch 435/509 | d_loss: 1.5815 | g_loss: 9.3037 2023-06-03 21:42:53 | Epoch [2/50] | Batch 440/509 | d_loss: 0.7623 | g_loss: 2.1901 2023-06-03 21:42:54 | Epoch [2/50] | Batch 445/509 | d_loss: 0.7570 | g_loss: 3.3120 2023-06-03 21:42:56 | Epoch [2/50] | Batch 450/509 | d_loss: 0.6800 | g_loss: 3.1663 2023-06-03 21:42:58 | Epoch [2/50] | Batch 455/509 | d_loss: 0.6057 | g_loss: 3.0089 2023-06-03 21:42:59 | Epoch [2/50] | Batch 460/509 | d_loss: 0.6893 | g_loss: 2.6284 2023-06-03 21:43:01 | Epoch [2/50] | Batch 465/509 | d_loss: 0.8279 | g_loss: 5.8495 2023-06-03 21:43:02 | Epoch [2/50] | Batch 470/509 | d_loss: 0.7523 | g_loss: 3.6318 2023-06-03 21:43:04 | Epoch [2/50] | Batch 475/509 | d_loss: 0.6534 | g_loss: 4.8337 2023-06-03 21:43:06 | Epoch [2/50] | Batch 480/509 | d_loss: 0.5616 | g_loss: 4.0319 2023-06-03 21:43:07 | Epoch [2/50] | Batch 485/509 | d_loss: 0.6481 | g_loss: 4.5601 2023-06-03 21:43:09 | Epoch [2/50] | Batch 490/509 | d_loss: 0.8611 | g_loss: 5.6220 2023-06-03 21:43:11 | Epoch [2/50] | Batch 495/509 | d_loss: 1.1509 | g_loss: 5.2944 2023-06-03 21:43:12 | Epoch [2/50] | Batch 500/509 | d_loss: 0.7478 | g_loss: 1.8390 2023-06-03 21:43:14 | Epoch [2/50] | Batch 505/509 | d_loss: 0.5302 | g_loss: 3.6192
2023-06-03 21:43:16 | Epoch [3/50] | Batch 0/509 | d_loss: 0.8086 | g_loss: 4.5087 2023-06-03 21:43:18 | Epoch [3/50] | Batch 5/509 | d_loss: 0.6532 | g_loss: 3.8521 2023-06-03 21:43:20 | Epoch [3/50] | Batch 10/509 | d_loss: 0.5757 | g_loss: 3.5678 2023-06-03 21:43:21 | Epoch [3/50] | Batch 15/509 | d_loss: 1.0358 | g_loss: 2.5198 2023-06-03 21:43:23 | Epoch [3/50] | Batch 20/509 | d_loss: 0.6446 | g_loss: 3.2416 2023-06-03 21:43:24 | Epoch [3/50] | Batch 25/509 | d_loss: 0.6008 | g_loss: 2.7944 2023-06-03 21:43:26 | Epoch [3/50] | Batch 30/509 | d_loss: 0.7491 | g_loss: 4.6228 2023-06-03 21:43:28 | Epoch [3/50] | Batch 35/509 | d_loss: 1.5078 | g_loss: 7.7032 2023-06-03 21:43:29 | Epoch [3/50] | Batch 40/509 | d_loss: 0.8590 | g_loss: 3.6583 2023-06-03 21:43:31 | Epoch [3/50] | Batch 45/509 | d_loss: 0.7018 | g_loss: 3.6795 2023-06-03 21:43:33 | Epoch [3/50] | Batch 50/509 | d_loss: 0.9677 | g_loss: 1.5652 2023-06-03 21:43:34 | Epoch [3/50] | Batch 55/509 | d_loss: 0.7066 | g_loss: 2.6239 2023-06-03 21:43:36 | Epoch [3/50] | Batch 60/509 | d_loss: 0.7554 | g_loss: 2.3833 2023-06-03 21:43:38 | Epoch [3/50] | Batch 65/509 | d_loss: 0.7626 | g_loss: 2.2806 2023-06-03 21:43:39 | Epoch [3/50] | Batch 70/509 | d_loss: 0.5587 | g_loss: 3.4033 2023-06-03 21:43:41 | Epoch [3/50] | Batch 75/509 | d_loss: 0.8062 | g_loss: 2.9898 2023-06-03 21:43:42 | Epoch [3/50] | Batch 80/509 | d_loss: 1.1777 | g_loss: 4.7373 2023-06-03 21:43:44 | Epoch [3/50] | Batch 85/509 | d_loss: 0.6674 | g_loss: 3.5661 2023-06-03 21:43:46 | Epoch [3/50] | Batch 90/509 | d_loss: 0.6510 | g_loss: 3.3797 2023-06-03 21:43:47 | Epoch [3/50] | Batch 95/509 | d_loss: 0.5585 | g_loss: 3.3413 2023-06-03 21:43:49 | Epoch [3/50] | Batch 100/509 | d_loss: 0.8209 | g_loss: 1.3264 2023-06-03 21:43:51 | Epoch [3/50] | Batch 105/509 | d_loss: 0.7873 | g_loss: 3.3741 2023-06-03 21:43:52 | Epoch [3/50] | Batch 110/509 | d_loss: 0.7883 | g_loss: 2.3894 2023-06-03 21:43:54 | Epoch [3/50] | Batch 115/509 | d_loss: 0.6149 | g_loss: 3.2505 2023-06-03 21:43:55 | Epoch [3/50] | Batch 120/509 | d_loss: 0.6106 | g_loss: 2.7791 2023-06-03 21:43:57 | Epoch [3/50] | Batch 125/509 | d_loss: 0.7845 | g_loss: 2.1748 2023-06-03 21:43:59 | Epoch [3/50] | Batch 130/509 | d_loss: 0.8881 | g_loss: 5.1247 2023-06-03 21:44:00 | Epoch [3/50] | Batch 135/509 | d_loss: 0.6662 | g_loss: 3.8243 2023-06-03 21:44:02 | Epoch [3/50] | Batch 140/509 | d_loss: 0.7650 | g_loss: 3.5969 2023-06-03 21:44:04 | Epoch [3/50] | Batch 145/509 | d_loss: 0.5786 | g_loss: 3.8619 2023-06-03 21:44:05 | Epoch [3/50] | Batch 150/509 | d_loss: 0.7048 | g_loss: 3.5414 2023-06-03 21:44:07 | Epoch [3/50] | Batch 155/509 | d_loss: 0.6968 | g_loss: 1.6733 2023-06-03 21:44:09 | Epoch [3/50] | Batch 160/509 | d_loss: 0.6118 | g_loss: 2.7877 2023-06-03 21:44:10 | Epoch [3/50] | Batch 165/509 | d_loss: 0.7455 | g_loss: 2.0837 2023-06-03 21:44:12 | Epoch [3/50] | Batch 170/509 | d_loss: 0.7213 | g_loss: 2.2662 2023-06-03 21:44:13 | Epoch [3/50] | Batch 175/509 | d_loss: 0.6465 | g_loss: 3.3709 2023-06-03 21:44:15 | Epoch [3/50] | Batch 180/509 | d_loss: 0.6907 | g_loss: 2.1303 2023-06-03 21:44:17 | Epoch [3/50] | Batch 185/509 | d_loss: 0.6225 | g_loss: 2.6345 2023-06-03 21:44:18 | Epoch [3/50] | Batch 190/509 | d_loss: 0.5347 | g_loss: 3.2344 2023-06-03 21:44:20 | Epoch [3/50] | Batch 195/509 | d_loss: 0.8138 | g_loss: 4.6330 2023-06-03 21:44:22 | Epoch [3/50] | Batch 200/509 | d_loss: 0.7093 | g_loss: 2.9173 2023-06-03 21:44:23 | Epoch [3/50] | Batch 205/509 | d_loss: 0.9484 | g_loss: 1.7994 2023-06-03 21:44:25 | Epoch [3/50] | Batch 210/509 | d_loss: 0.5287 | g_loss: 3.4162 2023-06-03 21:44:26 | Epoch [3/50] | Batch 215/509 | d_loss: 0.7052 | g_loss: 2.7505 2023-06-03 21:44:28 | Epoch [3/50] | Batch 220/509 | d_loss: 0.7275 | g_loss: 3.6262 2023-06-03 21:44:30 | Epoch [3/50] | Batch 225/509 | d_loss: 1.5394 | g_loss: 5.8971 2023-06-03 21:44:31 | Epoch [3/50] | Batch 230/509 | d_loss: 1.2319 | g_loss: 5.8872 2023-06-03 21:44:33 | Epoch [3/50] | Batch 235/509 | d_loss: 0.7147 | g_loss: 3.7983 2023-06-03 21:44:35 | Epoch [3/50] | Batch 240/509 | d_loss: 0.6217 | g_loss: 3.2009 2023-06-03 21:44:36 | Epoch [3/50] | Batch 245/509 | d_loss: 0.7645 | g_loss: 1.8219 2023-06-03 21:44:38 | Epoch [3/50] | Batch 250/509 | d_loss: 0.6299 | g_loss: 2.6311 2023-06-03 21:44:40 | Epoch [3/50] | Batch 255/509 | d_loss: 1.1237 | g_loss: 5.2219 2023-06-03 21:44:41 | Epoch [3/50] | Batch 260/509 | d_loss: 0.5742 | g_loss: 3.4901 2023-06-03 21:44:43 | Epoch [3/50] | Batch 265/509 | d_loss: 0.8576 | g_loss: 1.7851 2023-06-03 21:44:44 | Epoch [3/50] | Batch 270/509 | d_loss: 0.7677 | g_loss: 2.3278 2023-06-03 21:44:46 | Epoch [3/50] | Batch 275/509 | d_loss: 0.7053 | g_loss: 3.7606 2023-06-03 21:44:48 | Epoch [3/50] | Batch 280/509 | d_loss: 0.7218 | g_loss: 2.7007 2023-06-03 21:44:49 | Epoch [3/50] | Batch 285/509 | d_loss: 1.0753 | g_loss: 5.4845 2023-06-03 21:44:51 | Epoch [3/50] | Batch 290/509 | d_loss: 0.7416 | g_loss: 4.0104 2023-06-03 21:44:53 | Epoch [3/50] | Batch 295/509 | d_loss: 0.6334 | g_loss: 2.6632 2023-06-03 21:44:54 | Epoch [3/50] | Batch 300/509 | d_loss: 0.6681 | g_loss: 4.0600 2023-06-03 21:44:56 | Epoch [3/50] | Batch 305/509 | d_loss: 0.8862 | g_loss: 4.8552 2023-06-03 21:44:57 | Epoch [3/50] | Batch 310/509 | d_loss: 0.7753 | g_loss: 1.7322 2023-06-03 21:44:59 | Epoch [3/50] | Batch 315/509 | d_loss: 1.1677 | g_loss: 5.6317 2023-06-03 21:45:01 | Epoch [3/50] | Batch 320/509 | d_loss: 0.5397 | g_loss: 2.1749 2023-06-03 21:45:02 | Epoch [3/50] | Batch 325/509 | d_loss: 0.6235 | g_loss: 2.7947 2023-06-03 21:45:04 | Epoch [3/50] | Batch 330/509 | d_loss: 0.6448 | g_loss: 3.2963 2023-06-03 21:45:06 | Epoch [3/50] | Batch 335/509 | d_loss: 1.0316 | g_loss: 2.4022 2023-06-03 21:45:07 | Epoch [3/50] | Batch 340/509 | d_loss: 0.6276 | g_loss: 2.5742 2023-06-03 21:45:09 | Epoch [3/50] | Batch 345/509 | d_loss: 0.5768 | g_loss: 2.6617 2023-06-03 21:45:11 | Epoch [3/50] | Batch 350/509 | d_loss: 1.2502 | g_loss: 5.7152 2023-06-03 21:45:12 | Epoch [3/50] | Batch 355/509 | d_loss: 0.8859 | g_loss: 3.9128 2023-06-03 21:45:14 | Epoch [3/50] | Batch 360/509 | d_loss: 0.8043 | g_loss: 4.5533 2023-06-03 21:45:15 | Epoch [3/50] | Batch 365/509 | d_loss: 0.5191 | g_loss: 3.2515 2023-06-03 21:45:17 | Epoch [3/50] | Batch 370/509 | d_loss: 0.5131 | g_loss: 4.0065 2023-06-03 21:45:19 | Epoch [3/50] | Batch 375/509 | d_loss: 0.5271 | g_loss: 3.6817 2023-06-03 21:45:20 | Epoch [3/50] | Batch 380/509 | d_loss: 0.6180 | g_loss: 2.6192 2023-06-03 21:45:22 | Epoch [3/50] | Batch 385/509 | d_loss: 0.6041 | g_loss: 2.3187 2023-06-03 21:45:24 | Epoch [3/50] | Batch 390/509 | d_loss: 0.5125 | g_loss: 2.4145 2023-06-03 21:45:25 | Epoch [3/50] | Batch 395/509 | d_loss: 0.9220 | g_loss: 5.2995 2023-06-03 21:45:27 | Epoch [3/50] | Batch 400/509 | d_loss: 0.5847 | g_loss: 3.1408 2023-06-03 21:45:28 | Epoch [3/50] | Batch 405/509 | d_loss: 0.7125 | g_loss: 2.2250 2023-06-03 21:45:30 | Epoch [3/50] | Batch 410/509 | d_loss: 0.5863 | g_loss: 2.9659 2023-06-03 21:45:32 | Epoch [3/50] | Batch 415/509 | d_loss: 0.5340 | g_loss: 3.2684 2023-06-03 21:45:33 | Epoch [3/50] | Batch 420/509 | d_loss: 0.7023 | g_loss: 4.9916 2023-06-03 21:45:35 | Epoch [3/50] | Batch 425/509 | d_loss: 0.7625 | g_loss: 5.0783 2023-06-03 21:45:37 | Epoch [3/50] | Batch 430/509 | d_loss: 0.5612 | g_loss: 3.2206 2023-06-03 21:45:38 | Epoch [3/50] | Batch 435/509 | d_loss: 0.6147 | g_loss: 4.7659 2023-06-03 21:45:40 | Epoch [3/50] | Batch 440/509 | d_loss: 1.1851 | g_loss: 4.3669 2023-06-03 21:45:42 | Epoch [3/50] | Batch 445/509 | d_loss: 0.7346 | g_loss: 4.1287 2023-06-03 21:45:43 | Epoch [3/50] | Batch 450/509 | d_loss: 0.4944 | g_loss: 3.8494 2023-06-03 21:45:45 | Epoch [3/50] | Batch 455/509 | d_loss: 0.7108 | g_loss: 3.9216 2023-06-03 21:45:46 | Epoch [3/50] | Batch 460/509 | d_loss: 0.8381 | g_loss: 3.3971 2023-06-03 21:45:48 | Epoch [3/50] | Batch 465/509 | d_loss: 0.6244 | g_loss: 2.2794 2023-06-03 21:45:50 | Epoch [3/50] | Batch 470/509 | d_loss: 0.5169 | g_loss: 2.9526 2023-06-03 21:45:51 | Epoch [3/50] | Batch 475/509 | d_loss: 0.5442 | g_loss: 3.4392 2023-06-03 21:45:53 | Epoch [3/50] | Batch 480/509 | d_loss: 0.6608 | g_loss: 2.3173 2023-06-03 21:45:55 | Epoch [3/50] | Batch 485/509 | d_loss: 0.5700 | g_loss: 2.4048 2023-06-03 21:45:56 | Epoch [3/50] | Batch 490/509 | d_loss: 0.7340 | g_loss: 5.4971 2023-06-03 21:45:58 | Epoch [3/50] | Batch 495/509 | d_loss: 0.9033 | g_loss: 1.1636 2023-06-03 21:45:59 | Epoch [3/50] | Batch 500/509 | d_loss: 0.6615 | g_loss: 3.0735 2023-06-03 21:46:01 | Epoch [3/50] | Batch 505/509 | d_loss: 0.8166 | g_loss: 1.7949
2023-06-03 21:46:04 | Epoch [4/50] | Batch 0/509 | d_loss: 0.6472 | g_loss: 2.7508 2023-06-03 21:46:05 | Epoch [4/50] | Batch 5/509 | d_loss: 0.8732 | g_loss: 1.8801 2023-06-03 21:46:07 | Epoch [4/50] | Batch 10/509 | d_loss: 0.5075 | g_loss: 3.2646 2023-06-03 21:46:09 | Epoch [4/50] | Batch 15/509 | d_loss: 0.8752 | g_loss: 2.7704 2023-06-03 21:46:10 | Epoch [4/50] | Batch 20/509 | d_loss: 1.0238 | g_loss: 4.8691 2023-06-03 21:46:12 | Epoch [4/50] | Batch 25/509 | d_loss: 0.5561 | g_loss: 2.5653 2023-06-03 21:46:13 | Epoch [4/50] | Batch 30/509 | d_loss: 0.5365 | g_loss: 3.2961 2023-06-03 21:46:15 | Epoch [4/50] | Batch 35/509 | d_loss: 0.7391 | g_loss: 4.2413 2023-06-03 21:46:17 | Epoch [4/50] | Batch 40/509 | d_loss: 0.5027 | g_loss: 3.0971 2023-06-03 21:46:18 | Epoch [4/50] | Batch 45/509 | d_loss: 0.5452 | g_loss: 3.1175 2023-06-03 21:46:20 | Epoch [4/50] | Batch 50/509 | d_loss: 0.8685 | g_loss: 5.2794 2023-06-03 21:46:22 | Epoch [4/50] | Batch 55/509 | d_loss: 0.6886 | g_loss: 4.8339 2023-06-03 21:46:23 | Epoch [4/50] | Batch 60/509 | d_loss: 0.5323 | g_loss: 3.9181 2023-06-03 21:46:25 | Epoch [4/50] | Batch 65/509 | d_loss: 0.9214 | g_loss: 1.8783 2023-06-03 21:46:27 | Epoch [4/50] | Batch 70/509 | d_loss: 0.6113 | g_loss: 2.8909 2023-06-03 21:46:28 | Epoch [4/50] | Batch 75/509 | d_loss: 0.5392 | g_loss: 3.8523 2023-06-03 21:46:30 | Epoch [4/50] | Batch 80/509 | d_loss: 0.5151 | g_loss: 3.4651 2023-06-03 21:46:31 | Epoch [4/50] | Batch 85/509 | d_loss: 0.7651 | g_loss: 6.0667 2023-06-03 21:46:33 | Epoch [4/50] | Batch 90/509 | d_loss: 0.5700 | g_loss: 4.3364 2023-06-03 21:46:35 | Epoch [4/50] | Batch 95/509 | d_loss: 0.4554 | g_loss: 3.4673 2023-06-03 21:46:36 | Epoch [4/50] | Batch 100/509 | d_loss: 1.5825 | g_loss: 6.7186 2023-06-03 21:46:38 | Epoch [4/50] | Batch 105/509 | d_loss: 0.8005 | g_loss: 3.5120 2023-06-03 21:46:40 | Epoch [4/50] | Batch 110/509 | d_loss: 0.5776 | g_loss: 3.8532 2023-06-03 21:46:41 | Epoch [4/50] | Batch 115/509 | d_loss: 0.5591 | g_loss: 3.1247 2023-06-03 21:46:43 | Epoch [4/50] | Batch 120/509 | d_loss: 0.5669 | g_loss: 3.1233 2023-06-03 21:46:44 | Epoch [4/50] | Batch 125/509 | d_loss: 0.7452 | g_loss: 1.9870 2023-06-03 21:46:46 | Epoch [4/50] | Batch 130/509 | d_loss: 0.5533 | g_loss: 3.0217 2023-06-03 21:46:48 | Epoch [4/50] | Batch 135/509 | d_loss: 0.8200 | g_loss: 4.6195 2023-06-03 21:46:49 | Epoch [4/50] | Batch 140/509 | d_loss: 0.5647 | g_loss: 4.2446 2023-06-03 21:46:51 | Epoch [4/50] | Batch 145/509 | d_loss: 0.6688 | g_loss: 3.3363 2023-06-03 21:46:53 | Epoch [4/50] | Batch 150/509 | d_loss: 0.5512 | g_loss: 3.2664 2023-06-03 21:46:54 | Epoch [4/50] | Batch 155/509 | d_loss: 0.5991 | g_loss: 2.7315 2023-06-03 21:46:56 | Epoch [4/50] | Batch 160/509 | d_loss: 0.6862 | g_loss: 3.4747 2023-06-03 21:46:58 | Epoch [4/50] | Batch 165/509 | d_loss: 0.5151 | g_loss: 2.9805 2023-06-03 21:46:59 | Epoch [4/50] | Batch 170/509 | d_loss: 0.5732 | g_loss: 4.1059 2023-06-03 21:47:01 | Epoch [4/50] | Batch 175/509 | d_loss: 0.4956 | g_loss: 3.4581 2023-06-03 21:47:02 | Epoch [4/50] | Batch 180/509 | d_loss: 0.5475 | g_loss: 4.1244 2023-06-03 21:47:04 | Epoch [4/50] | Batch 185/509 | d_loss: 0.5800 | g_loss: 4.5762 2023-06-03 21:47:06 | Epoch [4/50] | Batch 190/509 | d_loss: 0.4430 | g_loss: 4.0117 2023-06-03 21:47:07 | Epoch [4/50] | Batch 195/509 | d_loss: 0.5693 | g_loss: 1.7117 2023-06-03 21:47:09 | Epoch [4/50] | Batch 200/509 | d_loss: 0.7855 | g_loss: 2.3248 2023-06-03 21:47:11 | Epoch [4/50] | Batch 205/509 | d_loss: 0.8192 | g_loss: 2.3912 2023-06-03 21:47:12 | Epoch [4/50] | Batch 210/509 | d_loss: 0.8522 | g_loss: 3.4423 2023-06-03 21:47:14 | Epoch [4/50] | Batch 215/509 | d_loss: 0.5943 | g_loss: 2.4526 2023-06-03 21:47:16 | Epoch [4/50] | Batch 220/509 | d_loss: 0.6355 | g_loss: 2.8759 2023-06-03 21:47:17 | Epoch [4/50] | Batch 225/509 | d_loss: 0.8562 | g_loss: 4.6844 2023-06-03 21:47:19 | Epoch [4/50] | Batch 230/509 | d_loss: 0.5581 | g_loss: 3.2510 2023-06-03 21:47:20 | Epoch [4/50] | Batch 235/509 | d_loss: 0.5892 | g_loss: 2.7370 2023-06-03 21:47:22 | Epoch [4/50] | Batch 240/509 | d_loss: 0.6500 | g_loss: 3.5806 2023-06-03 21:47:24 | Epoch [4/50] | Batch 245/509 | d_loss: 0.7211 | g_loss: 5.0761 2023-06-03 21:47:25 | Epoch [4/50] | Batch 250/509 | d_loss: 0.4725 | g_loss: 3.8757 2023-06-03 21:47:27 | Epoch [4/50] | Batch 255/509 | d_loss: 0.6391 | g_loss: 2.2861 2023-06-03 21:47:29 | Epoch [4/50] | Batch 260/509 | d_loss: 0.4966 | g_loss: 3.1921 2023-06-03 21:47:30 | Epoch [4/50] | Batch 265/509 | d_loss: 0.7265 | g_loss: 4.5371 2023-06-03 21:47:32 | Epoch [4/50] | Batch 270/509 | d_loss: 0.5364 | g_loss: 3.1956 2023-06-03 21:47:33 | Epoch [4/50] | Batch 275/509 | d_loss: 0.5304 | g_loss: 1.4276 2023-06-03 21:47:35 | Epoch [4/50] | Batch 280/509 | d_loss: 0.7596 | g_loss: 1.7231 2023-06-03 21:47:37 | Epoch [4/50] | Batch 285/509 | d_loss: 0.8711 | g_loss: 2.6480 2023-06-03 21:47:38 | Epoch [4/50] | Batch 290/509 | d_loss: 0.8837 | g_loss: 2.3698 2023-06-03 21:47:40 | Epoch [4/50] | Batch 295/509 | d_loss: 0.6074 | g_loss: 2.6608 2023-06-03 21:47:42 | Epoch [4/50] | Batch 300/509 | d_loss: 0.6705 | g_loss: 2.2776 2023-06-03 21:47:43 | Epoch [4/50] | Batch 305/509 | d_loss: 0.6278 | g_loss: 2.8469 2023-06-03 21:47:45 | Epoch [4/50] | Batch 310/509 | d_loss: 0.5603 | g_loss: 2.6929 2023-06-03 21:47:47 | Epoch [4/50] | Batch 315/509 | d_loss: 0.5000 | g_loss: 3.5822 2023-06-03 21:47:48 | Epoch [4/50] | Batch 320/509 | d_loss: 0.4566 | g_loss: 4.0401 2023-06-03 21:47:50 | Epoch [4/50] | Batch 325/509 | d_loss: 0.5733 | g_loss: 2.7905 2023-06-03 21:47:51 | Epoch [4/50] | Batch 330/509 | d_loss: 0.6824 | g_loss: 4.1583 2023-06-03 21:47:53 | Epoch [4/50] | Batch 335/509 | d_loss: 0.6667 | g_loss: 2.0785 2023-06-03 21:47:55 | Epoch [4/50] | Batch 340/509 | d_loss: 0.6196 | g_loss: 2.0771 2023-06-03 21:47:56 | Epoch [4/50] | Batch 345/509 | d_loss: 0.5379 | g_loss: 2.5132 2023-06-03 21:47:58 | Epoch [4/50] | Batch 350/509 | d_loss: 0.6057 | g_loss: 2.9387 2023-06-03 21:48:00 | Epoch [4/50] | Batch 355/509 | d_loss: 0.4766 | g_loss: 2.9796 2023-06-03 21:48:01 | Epoch [4/50] | Batch 360/509 | d_loss: 0.6221 | g_loss: 2.2010 2023-06-03 21:48:03 | Epoch [4/50] | Batch 365/509 | d_loss: 0.5132 | g_loss: 2.8890 2023-06-03 21:48:05 | Epoch [4/50] | Batch 370/509 | d_loss: 0.7949 | g_loss: 3.1794 2023-06-03 21:48:06 | Epoch [4/50] | Batch 375/509 | d_loss: 0.4828 | g_loss: 3.1440 2023-06-03 21:48:08 | Epoch [4/50] | Batch 380/509 | d_loss: 0.5175 | g_loss: 2.2862 2023-06-03 21:48:09 | Epoch [4/50] | Batch 385/509 | d_loss: 0.4626 | g_loss: 3.3064 2023-06-03 21:48:11 | Epoch [4/50] | Batch 390/509 | d_loss: 0.4517 | g_loss: 4.0777 2023-06-03 21:48:13 | Epoch [4/50] | Batch 395/509 | d_loss: 0.5757 | g_loss: 3.2259 2023-06-03 21:48:14 | Epoch [4/50] | Batch 400/509 | d_loss: 0.5758 | g_loss: 2.4096 2023-06-03 21:48:16 | Epoch [4/50] | Batch 405/509 | d_loss: 0.5280 | g_loss: 3.2736 2023-06-03 21:48:18 | Epoch [4/50] | Batch 410/509 | d_loss: 0.6529 | g_loss: 3.1843 2023-06-03 21:48:19 | Epoch [4/50] | Batch 415/509 | d_loss: 0.9612 | g_loss: 1.3389 2023-06-03 21:48:21 | Epoch [4/50] | Batch 420/509 | d_loss: 0.6743 | g_loss: 4.0667 2023-06-03 21:48:22 | Epoch [4/50] | Batch 425/509 | d_loss: 0.6754 | g_loss: 3.9966 2023-06-03 21:48:24 | Epoch [4/50] | Batch 430/509 | d_loss: 0.4707 | g_loss: 2.9086 2023-06-03 21:48:26 | Epoch [4/50] | Batch 435/509 | d_loss: 1.2424 | g_loss: 2.0636 2023-06-03 21:48:27 | Epoch [4/50] | Batch 440/509 | d_loss: 0.5789 | g_loss: 2.4622 2023-06-03 21:48:29 | Epoch [4/50] | Batch 445/509 | d_loss: 1.2182 | g_loss: 1.1767 2023-06-03 21:48:31 | Epoch [4/50] | Batch 450/509 | d_loss: 0.6435 | g_loss: 2.1416 2023-06-03 21:48:32 | Epoch [4/50] | Batch 455/509 | d_loss: 0.5195 | g_loss: 2.7434 2023-06-03 21:48:34 | Epoch [4/50] | Batch 460/509 | d_loss: 0.6613 | g_loss: 2.1455 2023-06-03 21:48:36 | Epoch [4/50] | Batch 465/509 | d_loss: 0.6066 | g_loss: 3.3146 2023-06-03 21:48:37 | Epoch [4/50] | Batch 470/509 | d_loss: 0.6539 | g_loss: 3.8264 2023-06-03 21:48:39 | Epoch [4/50] | Batch 475/509 | d_loss: 0.5484 | g_loss: 3.0200 2023-06-03 21:48:40 | Epoch [4/50] | Batch 480/509 | d_loss: 0.7442 | g_loss: 5.7706 2023-06-03 21:48:42 | Epoch [4/50] | Batch 485/509 | d_loss: 0.7194 | g_loss: 5.1763 2023-06-03 21:48:44 | Epoch [4/50] | Batch 490/509 | d_loss: 0.5378 | g_loss: 4.4847 2023-06-03 21:48:45 | Epoch [4/50] | Batch 495/509 | d_loss: 0.7952 | g_loss: 4.9133 2023-06-03 21:48:47 | Epoch [4/50] | Batch 500/509 | d_loss: 0.5740 | g_loss: 3.6126 2023-06-03 21:48:49 | Epoch [4/50] | Batch 505/509 | d_loss: 0.6327 | g_loss: 1.8622
2023-06-03 21:48:51 | Epoch [5/50] | Batch 0/509 | d_loss: 0.3935 | g_loss: 4.3484 2023-06-03 21:48:53 | Epoch [5/50] | Batch 5/509 | d_loss: 0.7415 | g_loss: 4.5296 2023-06-03 21:48:54 | Epoch [5/50] | Batch 10/509 | d_loss: 0.5568 | g_loss: 2.2751 2023-06-03 21:48:56 | Epoch [5/50] | Batch 15/509 | d_loss: 0.5227 | g_loss: 2.1914 2023-06-03 21:48:58 | Epoch [5/50] | Batch 20/509 | d_loss: 0.5387 | g_loss: 3.8079 2023-06-03 21:48:59 | Epoch [5/50] | Batch 25/509 | d_loss: 0.4982 | g_loss: 3.3680 2023-06-03 21:49:01 | Epoch [5/50] | Batch 30/509 | d_loss: 1.1596 | g_loss: 6.1887 2023-06-03 21:49:02 | Epoch [5/50] | Batch 35/509 | d_loss: 0.6744 | g_loss: 3.7342 2023-06-03 21:49:04 | Epoch [5/50] | Batch 40/509 | d_loss: 0.4360 | g_loss: 3.0047 2023-06-03 21:49:06 | Epoch [5/50] | Batch 45/509 | d_loss: 0.5524 | g_loss: 3.0629 2023-06-03 21:49:07 | Epoch [5/50] | Batch 50/509 | d_loss: 0.6669 | g_loss: 4.3610 2023-06-03 21:49:09 | Epoch [5/50] | Batch 55/509 | d_loss: 0.7972 | g_loss: 1.8992 2023-06-03 21:49:11 | Epoch [5/50] | Batch 60/509 | d_loss: 0.6094 | g_loss: 2.1966 2023-06-03 21:49:12 | Epoch [5/50] | Batch 65/509 | d_loss: 0.7108 | g_loss: 3.2742 2023-06-03 21:49:14 | Epoch [5/50] | Batch 70/509 | d_loss: 0.5810 | g_loss: 2.2367 2023-06-03 21:49:15 | Epoch [5/50] | Batch 75/509 | d_loss: 0.4696 | g_loss: 3.7224 2023-06-03 21:49:17 | Epoch [5/50] | Batch 80/509 | d_loss: 0.6179 | g_loss: 4.0979 2023-06-03 21:49:19 | Epoch [5/50] | Batch 85/509 | d_loss: 0.4516 | g_loss: 4.0692 2023-06-03 21:49:20 | Epoch [5/50] | Batch 90/509 | d_loss: 0.4203 | g_loss: 3.8021 2023-06-03 21:49:22 | Epoch [5/50] | Batch 95/509 | d_loss: 0.6501 | g_loss: 4.3204 2023-06-03 21:49:24 | Epoch [5/50] | Batch 100/509 | d_loss: 0.6135 | g_loss: 4.2355 2023-06-03 21:49:25 | Epoch [5/50] | Batch 105/509 | d_loss: 0.6861 | g_loss: 4.0803 2023-06-03 21:49:27 | Epoch [5/50] | Batch 110/509 | d_loss: 0.5612 | g_loss: 3.3575 2023-06-03 21:49:29 | Epoch [5/50] | Batch 115/509 | d_loss: 0.5160 | g_loss: 2.6356 2023-06-03 21:49:30 | Epoch [5/50] | Batch 120/509 | d_loss: 0.5462 | g_loss: 2.7295 2023-06-03 21:49:32 | Epoch [5/50] | Batch 125/509 | d_loss: 0.5453 | g_loss: 4.1385 2023-06-03 21:49:33 | Epoch [5/50] | Batch 130/509 | d_loss: 0.7652 | g_loss: 4.8078 2023-06-03 21:49:35 | Epoch [5/50] | Batch 135/509 | d_loss: 1.3538 | g_loss: 4.8863 2023-06-03 21:49:37 | Epoch [5/50] | Batch 140/509 | d_loss: 0.5602 | g_loss: 2.7255 2023-06-03 21:49:38 | Epoch [5/50] | Batch 145/509 | d_loss: 0.5572 | g_loss: 3.1053 2023-06-03 21:49:40 | Epoch [5/50] | Batch 150/509 | d_loss: 0.4825 | g_loss: 3.5136 2023-06-03 21:49:42 | Epoch [5/50] | Batch 155/509 | d_loss: 0.7531 | g_loss: 4.0302 2023-06-03 21:49:43 | Epoch [5/50] | Batch 160/509 | d_loss: 0.5200 | g_loss: 3.3355 2023-06-03 21:49:45 | Epoch [5/50] | Batch 165/509 | d_loss: 0.8898 | g_loss: 2.0944 2023-06-03 21:49:47 | Epoch [5/50] | Batch 170/509 | d_loss: 0.4875 | g_loss: 3.6732 2023-06-03 21:49:48 | Epoch [5/50] | Batch 175/509 | d_loss: 1.1846 | g_loss: 2.5270 2023-06-03 21:49:50 | Epoch [5/50] | Batch 180/509 | d_loss: 0.5295 | g_loss: 3.8114 2023-06-03 21:49:51 | Epoch [5/50] | Batch 185/509 | d_loss: 0.5682 | g_loss: 3.6339 2023-06-03 21:49:53 | Epoch [5/50] | Batch 190/509 | d_loss: 0.7624 | g_loss: 2.1421 2023-06-03 21:49:55 | Epoch [5/50] | Batch 195/509 | d_loss: 0.5423 | g_loss: 4.7627 2023-06-03 21:49:56 | Epoch [5/50] | Batch 200/509 | d_loss: 0.5991 | g_loss: 3.3271 2023-06-03 21:49:58 | Epoch [5/50] | Batch 205/509 | d_loss: 0.6537 | g_loss: 3.0054 2023-06-03 21:50:00 | Epoch [5/50] | Batch 210/509 | d_loss: 0.4782 | g_loss: 3.1266 2023-06-03 21:50:01 | Epoch [5/50] | Batch 215/509 | d_loss: 0.6055 | g_loss: 3.5370 2023-06-03 21:50:03 | Epoch [5/50] | Batch 220/509 | d_loss: 0.4880 | g_loss: 1.8594 2023-06-03 21:50:05 | Epoch [5/50] | Batch 225/509 | d_loss: 0.6493 | g_loss: 3.1278 2023-06-03 21:50:06 | Epoch [5/50] | Batch 230/509 | d_loss: 0.6049 | g_loss: 2.9619 2023-06-03 21:50:08 | Epoch [5/50] | Batch 235/509 | d_loss: 0.5779 | g_loss: 4.1360 2023-06-03 21:50:09 | Epoch [5/50] | Batch 240/509 | d_loss: 0.5676 | g_loss: 2.6375 2023-06-03 21:50:11 | Epoch [5/50] | Batch 245/509 | d_loss: 0.4383 | g_loss: 2.6408 2023-06-03 21:50:13 | Epoch [5/50] | Batch 250/509 | d_loss: 0.5804 | g_loss: 4.6317 2023-06-03 21:50:14 | Epoch [5/50] | Batch 255/509 | d_loss: 0.6129 | g_loss: 4.2289 2023-06-03 21:50:16 | Epoch [5/50] | Batch 260/509 | d_loss: 0.4488 | g_loss: 3.9005 2023-06-03 21:50:18 | Epoch [5/50] | Batch 265/509 | d_loss: 0.7049 | g_loss: 2.5255 2023-06-03 21:50:19 | Epoch [5/50] | Batch 270/509 | d_loss: 0.5229 | g_loss: 3.1691 2023-06-03 21:50:21 | Epoch [5/50] | Batch 275/509 | d_loss: 0.7544 | g_loss: 4.4312 2023-06-03 21:50:22 | Epoch [5/50] | Batch 280/509 | d_loss: 0.7040 | g_loss: 3.3790 2023-06-03 21:50:24 | Epoch [5/50] | Batch 285/509 | d_loss: 0.5338 | g_loss: 3.0389 2023-06-03 21:50:26 | Epoch [5/50] | Batch 290/509 | d_loss: 0.4789 | g_loss: 3.5924 2023-06-03 21:50:27 | Epoch [5/50] | Batch 295/509 | d_loss: 0.4200 | g_loss: 3.9842 2023-06-03 21:50:29 | Epoch [5/50] | Batch 300/509 | d_loss: 3.6414 | g_loss: 3.0166 2023-06-03 21:50:31 | Epoch [5/50] | Batch 305/509 | d_loss: 0.7343 | g_loss: 3.2123 2023-06-03 21:50:32 | Epoch [5/50] | Batch 310/509 | d_loss: 0.6765 | g_loss: 3.8805 2023-06-03 21:50:34 | Epoch [5/50] | Batch 315/509 | d_loss: 0.4591 | g_loss: 3.9753 2023-06-03 21:50:36 | Epoch [5/50] | Batch 320/509 | d_loss: 0.8624 | g_loss: 3.8854 2023-06-03 21:50:37 | Epoch [5/50] | Batch 325/509 | d_loss: 0.7033 | g_loss: 3.9012 2023-06-03 21:50:39 | Epoch [5/50] | Batch 330/509 | d_loss: 0.7401 | g_loss: 4.1418 2023-06-03 21:50:40 | Epoch [5/50] | Batch 335/509 | d_loss: 0.6999 | g_loss: 1.9757 2023-06-03 21:50:42 | Epoch [5/50] | Batch 340/509 | d_loss: 0.5255 | g_loss: 3.7342 2023-06-03 21:50:44 | Epoch [5/50] | Batch 345/509 | d_loss: 0.7075 | g_loss: 2.4187 2023-06-03 21:50:45 | Epoch [5/50] | Batch 350/509 | d_loss: 0.8254 | g_loss: 5.3497 2023-06-03 21:50:47 | Epoch [5/50] | Batch 355/509 | d_loss: 0.5198 | g_loss: 2.6961 2023-06-03 21:50:49 | Epoch [5/50] | Batch 360/509 | d_loss: 0.6837 | g_loss: 2.1591 2023-06-03 21:50:50 | Epoch [5/50] | Batch 365/509 | d_loss: 0.5984 | g_loss: 3.7551 2023-06-03 21:50:52 | Epoch [5/50] | Batch 370/509 | d_loss: 0.5499 | g_loss: 3.6443 2023-06-03 21:50:54 | Epoch [5/50] | Batch 375/509 | d_loss: 0.9265 | g_loss: 2.8256 2023-06-03 21:50:55 | Epoch [5/50] | Batch 380/509 | d_loss: 1.8411 | g_loss: 1.7484 2023-06-03 21:50:57 | Epoch [5/50] | Batch 385/509 | d_loss: 0.7242 | g_loss: 2.5042 2023-06-03 21:50:59 | Epoch [5/50] | Batch 390/509 | d_loss: 0.4852 | g_loss: 2.9554 2023-06-03 21:51:00 | Epoch [5/50] | Batch 395/509 | d_loss: 0.7127 | g_loss: 4.1521 2023-06-03 21:51:02 | Epoch [5/50] | Batch 400/509 | d_loss: 0.7977 | g_loss: 2.2191 2023-06-03 21:51:04 | Epoch [5/50] | Batch 405/509 | d_loss: 0.4218 | g_loss: 3.8456 2023-06-03 21:51:05 | Epoch [5/50] | Batch 410/509 | d_loss: 0.5055 | g_loss: 2.3115 2023-06-03 21:51:07 | Epoch [5/50] | Batch 415/509 | d_loss: 0.4323 | g_loss: 3.3574 2023-06-03 21:51:09 | Epoch [5/50] | Batch 420/509 | d_loss: 0.6709 | g_loss: 3.2539 2023-06-03 21:51:10 | Epoch [5/50] | Batch 425/509 | d_loss: 1.8216 | g_loss: 5.9882 2023-06-03 21:51:12 | Epoch [5/50] | Batch 430/509 | d_loss: 0.6377 | g_loss: 1.9368 2023-06-03 21:51:13 | Epoch [5/50] | Batch 435/509 | d_loss: 0.7135 | g_loss: 3.1758 2023-06-03 21:51:15 | Epoch [5/50] | Batch 440/509 | d_loss: 0.7745 | g_loss: 3.7603 2023-06-03 21:51:17 | Epoch [5/50] | Batch 445/509 | d_loss: 0.6442 | g_loss: 3.4775 2023-06-03 21:51:18 | Epoch [5/50] | Batch 450/509 | d_loss: 0.4938 | g_loss: 2.8298 2023-06-03 21:51:20 | Epoch [5/50] | Batch 455/509 | d_loss: 0.4493 | g_loss: 2.6658 2023-06-03 21:51:22 | Epoch [5/50] | Batch 460/509 | d_loss: 0.8046 | g_loss: 6.8397 2023-06-03 21:51:23 | Epoch [5/50] | Batch 465/509 | d_loss: 0.5234 | g_loss: 3.5628 2023-06-03 21:51:25 | Epoch [5/50] | Batch 470/509 | d_loss: 0.6234 | g_loss: 2.6765 2023-06-03 21:51:27 | Epoch [5/50] | Batch 475/509 | d_loss: 0.9483 | g_loss: 5.5890 2023-06-03 21:51:28 | Epoch [5/50] | Batch 480/509 | d_loss: 0.4919 | g_loss: 2.7053 2023-06-03 21:51:30 | Epoch [5/50] | Batch 485/509 | d_loss: 0.5828 | g_loss: 2.7339 2023-06-03 21:51:32 | Epoch [5/50] | Batch 490/509 | d_loss: 0.9067 | g_loss: 4.9629 2023-06-03 21:51:33 | Epoch [5/50] | Batch 495/509 | d_loss: 0.4027 | g_loss: 4.5397 2023-06-03 21:51:35 | Epoch [5/50] | Batch 500/509 | d_loss: 0.4264 | g_loss: 3.4066 2023-06-03 21:51:36 | Epoch [5/50] | Batch 505/509 | d_loss: 1.3268 | g_loss: 6.4902
2023-06-03 21:51:39 | Epoch [6/50] | Batch 0/509 | d_loss: 0.6752 | g_loss: 2.2473 2023-06-03 21:51:41 | Epoch [6/50] | Batch 5/509 | d_loss: 0.4410 | g_loss: 3.6377 2023-06-03 21:51:42 | Epoch [6/50] | Batch 10/509 | d_loss: 0.6905 | g_loss: 4.4320 2023-06-03 21:51:44 | Epoch [6/50] | Batch 15/509 | d_loss: 0.4569 | g_loss: 3.3058 2023-06-03 21:51:46 | Epoch [6/50] | Batch 20/509 | d_loss: 0.4342 | g_loss: 4.1861 2023-06-03 21:51:47 | Epoch [6/50] | Batch 25/509 | d_loss: 0.3827 | g_loss: 4.1642 2023-06-03 21:51:49 | Epoch [6/50] | Batch 30/509 | d_loss: 1.2549 | g_loss: 5.2491 2023-06-03 21:51:51 | Epoch [6/50] | Batch 35/509 | d_loss: 0.5679 | g_loss: 1.9083 2023-06-03 21:51:52 | Epoch [6/50] | Batch 40/509 | d_loss: 0.4335 | g_loss: 3.4931 2023-06-03 21:51:54 | Epoch [6/50] | Batch 45/509 | d_loss: 0.5595 | g_loss: 2.8803 2023-06-03 21:51:56 | Epoch [6/50] | Batch 50/509 | d_loss: 0.3954 | g_loss: 4.5489 2023-06-03 21:51:57 | Epoch [6/50] | Batch 55/509 | d_loss: 0.5239 | g_loss: 3.5868 2023-06-03 21:51:59 | Epoch [6/50] | Batch 60/509 | d_loss: 0.8241 | g_loss: 6.5472 2023-06-03 21:52:01 | Epoch [6/50] | Batch 65/509 | d_loss: 0.6938 | g_loss: 1.9866 2023-06-03 21:52:02 | Epoch [6/50] | Batch 70/509 | d_loss: 0.4281 | g_loss: 2.6571 2023-06-03 21:52:04 | Epoch [6/50] | Batch 75/509 | d_loss: 0.5531 | g_loss: 3.6523 2023-06-03 21:52:06 | Epoch [6/50] | Batch 80/509 | d_loss: 0.5384 | g_loss: 2.3170 2023-06-03 21:52:07 | Epoch [6/50] | Batch 85/509 | d_loss: 0.4996 | g_loss: 3.0474 2023-06-03 21:52:09 | Epoch [6/50] | Batch 90/509 | d_loss: 0.4254 | g_loss: 3.3875 2023-06-03 21:52:11 | Epoch [6/50] | Batch 95/509 | d_loss: 0.9554 | g_loss: 3.6782 2023-06-03 21:52:12 | Epoch [6/50] | Batch 100/509 | d_loss: 0.3844 | g_loss: 3.1237 2023-06-03 21:52:14 | Epoch [6/50] | Batch 105/509 | d_loss: 0.5388 | g_loss: 3.7162 2023-06-03 21:52:15 | Epoch [6/50] | Batch 110/509 | d_loss: 0.5225 | g_loss: 2.3407 2023-06-03 21:52:17 | Epoch [6/50] | Batch 115/509 | d_loss: 0.6586 | g_loss: 3.9709 2023-06-03 21:52:19 | Epoch [6/50] | Batch 120/509 | d_loss: 0.4773 | g_loss: 3.7050 2023-06-03 21:52:20 | Epoch [6/50] | Batch 125/509 | d_loss: 0.3895 | g_loss: 3.1372 2023-06-03 21:52:22 | Epoch [6/50] | Batch 130/509 | d_loss: 0.5610 | g_loss: 2.7343 2023-06-03 21:52:24 | Epoch [6/50] | Batch 135/509 | d_loss: 0.6057 | g_loss: 3.3879 2023-06-03 21:52:25 | Epoch [6/50] | Batch 140/509 | d_loss: 0.4984 | g_loss: 3.3272 2023-06-03 21:52:27 | Epoch [6/50] | Batch 145/509 | d_loss: 0.5590 | g_loss: 3.1752 2023-06-03 21:52:29 | Epoch [6/50] | Batch 150/509 | d_loss: 0.4742 | g_loss: 3.3360 2023-06-03 21:52:30 | Epoch [6/50] | Batch 155/509 | d_loss: 0.6085 | g_loss: 4.4193 2023-06-03 21:52:32 | Epoch [6/50] | Batch 160/509 | d_loss: 0.9739 | g_loss: 3.0755 2023-06-03 21:52:34 | Epoch [6/50] | Batch 165/509 | d_loss: 0.4510 | g_loss: 2.7693 2023-06-03 21:52:35 | Epoch [6/50] | Batch 170/509 | d_loss: 2.3928 | g_loss: 3.8312 2023-06-03 21:52:37 | Epoch [6/50] | Batch 175/509 | d_loss: 0.6006 | g_loss: 4.7681 2023-06-03 21:52:39 | Epoch [6/50] | Batch 180/509 | d_loss: 0.7083 | g_loss: 3.9585 2023-06-03 21:52:40 | Epoch [6/50] | Batch 185/509 | d_loss: 0.5353 | g_loss: 2.2206 2023-06-03 21:52:42 | Epoch [6/50] | Batch 190/509 | d_loss: 0.7058 | g_loss: 2.3455 2023-06-03 21:52:43 | Epoch [6/50] | Batch 195/509 | d_loss: 0.6024 | g_loss: 2.4945 2023-06-03 21:52:45 | Epoch [6/50] | Batch 200/509 | d_loss: 0.4390 | g_loss: 3.4687 2023-06-03 21:52:47 | Epoch [6/50] | Batch 205/509 | d_loss: 0.4259 | g_loss: 3.8689 2023-06-03 21:52:48 | Epoch [6/50] | Batch 210/509 | d_loss: 0.9117 | g_loss: 3.1211 2023-06-03 21:52:50 | Epoch [6/50] | Batch 215/509 | d_loss: 0.8087 | g_loss: 4.2396 2023-06-03 21:52:52 | Epoch [6/50] | Batch 220/509 | d_loss: 0.4308 | g_loss: 4.3115 2023-06-03 21:52:53 | Epoch [6/50] | Batch 225/509 | d_loss: 1.0876 | g_loss: 5.0203 2023-06-03 21:52:55 | Epoch [6/50] | Batch 230/509 | d_loss: 0.4468 | g_loss: 3.4743 2023-06-03 21:52:57 | Epoch [6/50] | Batch 235/509 | d_loss: 1.5208 | g_loss: 3.7210 2023-06-03 21:52:58 | Epoch [6/50] | Batch 240/509 | d_loss: 0.5213 | g_loss: 2.9499 2023-06-03 21:53:00 | Epoch [6/50] | Batch 245/509 | d_loss: 0.4595 | g_loss: 4.1695 2023-06-03 21:53:02 | Epoch [6/50] | Batch 250/509 | d_loss: 0.6955 | g_loss: 3.3760 2023-06-03 21:53:03 | Epoch [6/50] | Batch 255/509 | d_loss: 1.8855 | g_loss: 3.0069 2023-06-03 21:53:05 | Epoch [6/50] | Batch 260/509 | d_loss: 0.5847 | g_loss: 4.3063 2023-06-03 21:53:06 | Epoch [6/50] | Batch 265/509 | d_loss: 0.5018 | g_loss: 2.9767 2023-06-03 21:53:08 | Epoch [6/50] | Batch 270/509 | d_loss: 0.5542 | g_loss: 4.2010 2023-06-03 21:53:10 | Epoch [6/50] | Batch 275/509 | d_loss: 0.5080 | g_loss: 3.5684 2023-06-03 21:53:11 | Epoch [6/50] | Batch 280/509 | d_loss: 0.4488 | g_loss: 3.0633 2023-06-03 21:53:13 | Epoch [6/50] | Batch 285/509 | d_loss: 0.6168 | g_loss: 3.4879 2023-06-03 21:53:15 | Epoch [6/50] | Batch 290/509 | d_loss: 0.4779 | g_loss: 2.5430 2023-06-03 21:53:16 | Epoch [6/50] | Batch 295/509 | d_loss: 1.0072 | g_loss: 3.7013 2023-06-03 21:53:18 | Epoch [6/50] | Batch 300/509 | d_loss: 0.4072 | g_loss: 3.2411 2023-06-03 21:53:20 | Epoch [6/50] | Batch 305/509 | d_loss: 0.5524 | g_loss: 4.2415 2023-06-03 21:53:21 | Epoch [6/50] | Batch 310/509 | d_loss: 0.4791 | g_loss: 3.6665 2023-06-03 21:53:23 | Epoch [6/50] | Batch 315/509 | d_loss: 0.8400 | g_loss: 6.8306 2023-06-03 21:53:25 | Epoch [6/50] | Batch 320/509 | d_loss: 0.7591 | g_loss: 5.0339 2023-06-03 21:53:26 | Epoch [6/50] | Batch 325/509 | d_loss: 0.4846 | g_loss: 3.4033 2023-06-03 21:53:28 | Epoch [6/50] | Batch 330/509 | d_loss: 0.4980 | g_loss: 2.3501 2023-06-03 21:53:30 | Epoch [6/50] | Batch 335/509 | d_loss: 1.5464 | g_loss: 3.5266 2023-06-03 21:53:31 | Epoch [6/50] | Batch 340/509 | d_loss: 0.6374 | g_loss: 4.1056 2023-06-03 21:53:33 | Epoch [6/50] | Batch 345/509 | d_loss: 0.5794 | g_loss: 2.8387 2023-06-03 21:53:34 | Epoch [6/50] | Batch 350/509 | d_loss: 0.5736 | g_loss: 3.2490 2023-06-03 21:53:36 | Epoch [6/50] | Batch 355/509 | d_loss: 0.7297 | g_loss: 4.5205 2023-06-03 21:53:38 | Epoch [6/50] | Batch 360/509 | d_loss: 1.9963 | g_loss: 3.9386 2023-06-03 21:53:39 | Epoch [6/50] | Batch 365/509 | d_loss: 0.5569 | g_loss: 2.5268 2023-06-03 21:53:41 | Epoch [6/50] | Batch 370/509 | d_loss: 0.9211 | g_loss: 3.4941 2023-06-03 21:53:43 | Epoch [6/50] | Batch 375/509 | d_loss: 0.4796 | g_loss: 2.6779 2023-06-03 21:53:44 | Epoch [6/50] | Batch 380/509 | d_loss: 0.5421 | g_loss: 2.5545 2023-06-03 21:53:46 | Epoch [6/50] | Batch 385/509 | d_loss: 0.5236 | g_loss: 3.7957 2023-06-03 21:53:48 | Epoch [6/50] | Batch 390/509 | d_loss: 0.4147 | g_loss: 5.3443 2023-06-03 21:53:49 | Epoch [6/50] | Batch 395/509 | d_loss: 0.6595 | g_loss: 6.3004 2023-06-03 21:53:51 | Epoch [6/50] | Batch 400/509 | d_loss: 0.4022 | g_loss: 3.1899 2023-06-03 21:53:53 | Epoch [6/50] | Batch 405/509 | d_loss: 0.3992 | g_loss: 4.6125 2023-06-03 21:53:54 | Epoch [6/50] | Batch 410/509 | d_loss: 0.5357 | g_loss: 3.3832 2023-06-03 21:53:56 | Epoch [6/50] | Batch 415/509 | d_loss: 1.7374 | g_loss: 2.7759 2023-06-03 21:53:57 | Epoch [6/50] | Batch 420/509 | d_loss: 0.5332 | g_loss: 4.3100 2023-06-03 21:53:59 | Epoch [6/50] | Batch 425/509 | d_loss: 0.3896 | g_loss: 3.2792 2023-06-03 21:54:01 | Epoch [6/50] | Batch 430/509 | d_loss: 0.4315 | g_loss: 3.4043 2023-06-03 21:54:02 | Epoch [6/50] | Batch 435/509 | d_loss: 0.4018 | g_loss: 2.9664 2023-06-03 21:54:04 | Epoch [6/50] | Batch 440/509 | d_loss: 0.6022 | g_loss: 2.7627 2023-06-03 21:54:06 | Epoch [6/50] | Batch 445/509 | d_loss: 0.5758 | g_loss: 3.5199 2023-06-03 21:54:07 | Epoch [6/50] | Batch 450/509 | d_loss: 0.6111 | g_loss: 3.4534 2023-06-03 21:54:09 | Epoch [6/50] | Batch 455/509 | d_loss: 0.4324 | g_loss: 2.6836 2023-06-03 21:54:11 | Epoch [6/50] | Batch 460/509 | d_loss: 0.7257 | g_loss: 4.8085 2023-06-03 21:54:12 | Epoch [6/50] | Batch 465/509 | d_loss: 0.5250 | g_loss: 3.9642 2023-06-03 21:54:14 | Epoch [6/50] | Batch 470/509 | d_loss: 1.1025 | g_loss: 4.2470 2023-06-03 21:54:16 | Epoch [6/50] | Batch 475/509 | d_loss: 0.6467 | g_loss: 4.0878 2023-06-03 21:54:17 | Epoch [6/50] | Batch 480/509 | d_loss: 0.4792 | g_loss: 4.0375 2023-06-03 21:54:19 | Epoch [6/50] | Batch 485/509 | d_loss: 0.8871 | g_loss: 4.0539 2023-06-03 21:54:21 | Epoch [6/50] | Batch 490/509 | d_loss: 0.6180 | g_loss: 2.8532 2023-06-03 21:54:22 | Epoch [6/50] | Batch 495/509 | d_loss: 0.4167 | g_loss: 3.5504 2023-06-03 21:54:24 | Epoch [6/50] | Batch 500/509 | d_loss: 0.4374 | g_loss: 3.7760 2023-06-03 21:54:25 | Epoch [6/50] | Batch 505/509 | d_loss: 0.7575 | g_loss: 5.5485
2023-06-03 21:54:28 | Epoch [7/50] | Batch 0/509 | d_loss: 0.5254 | g_loss: 2.7907 2023-06-03 21:54:30 | Epoch [7/50] | Batch 5/509 | d_loss: 0.3810 | g_loss: 4.0368 2023-06-03 21:54:31 | Epoch [7/50] | Batch 10/509 | d_loss: 0.4820 | g_loss: 2.4240 2023-06-03 21:54:33 | Epoch [7/50] | Batch 15/509 | d_loss: 0.6046 | g_loss: 2.8296 2023-06-03 21:54:35 | Epoch [7/50] | Batch 20/509 | d_loss: 0.5146 | g_loss: 3.6917 2023-06-03 21:54:36 | Epoch [7/50] | Batch 25/509 | d_loss: 1.8236 | g_loss: 3.9636 2023-06-03 21:54:38 | Epoch [7/50] | Batch 30/509 | d_loss: 0.5542 | g_loss: 3.5951 2023-06-03 21:54:40 | Epoch [7/50] | Batch 35/509 | d_loss: 0.4429 | g_loss: 2.5371 2023-06-03 21:54:41 | Epoch [7/50] | Batch 40/509 | d_loss: 0.4848 | g_loss: 3.4281 2023-06-03 21:54:43 | Epoch [7/50] | Batch 45/509 | d_loss: 0.5144 | g_loss: 2.8046 2023-06-03 21:54:44 | Epoch [7/50] | Batch 50/509 | d_loss: 0.5537 | g_loss: 5.0571 2023-06-03 21:54:46 | Epoch [7/50] | Batch 55/509 | d_loss: 0.4148 | g_loss: 3.0499 2023-06-03 21:54:48 | Epoch [7/50] | Batch 60/509 | d_loss: 0.5875 | g_loss: 3.9955 2023-06-03 21:54:49 | Epoch [7/50] | Batch 65/509 | d_loss: 0.8449 | g_loss: 4.2300 2023-06-03 21:54:51 | Epoch [7/50] | Batch 70/509 | d_loss: 0.5026 | g_loss: 2.8048 2023-06-03 21:54:53 | Epoch [7/50] | Batch 75/509 | d_loss: 0.4095 | g_loss: 5.6609 2023-06-03 21:54:54 | Epoch [7/50] | Batch 80/509 | d_loss: 0.3666 | g_loss: 2.8911 2023-06-03 21:54:56 | Epoch [7/50] | Batch 85/509 | d_loss: 1.1828 | g_loss: 2.8758 2023-06-03 21:54:58 | Epoch [7/50] | Batch 90/509 | d_loss: 0.4560 | g_loss: 3.4949 2023-06-03 21:54:59 | Epoch [7/50] | Batch 95/509 | d_loss: 0.3985 | g_loss: 3.7763 2023-06-03 21:55:01 | Epoch [7/50] | Batch 100/509 | d_loss: 0.4154 | g_loss: 2.0640 2023-06-03 21:55:03 | Epoch [7/50] | Batch 105/509 | d_loss: 0.7120 | g_loss: 1.9867 2023-06-03 21:55:04 | Epoch [7/50] | Batch 110/509 | d_loss: 0.5038 | g_loss: 4.2217 2023-06-03 21:55:06 | Epoch [7/50] | Batch 115/509 | d_loss: 0.5375 | g_loss: 3.0906 2023-06-03 21:55:08 | Epoch [7/50] | Batch 120/509 | d_loss: 1.1448 | g_loss: 4.6575 2023-06-03 21:55:09 | Epoch [7/50] | Batch 125/509 | d_loss: 0.4826 | g_loss: 3.2779 2023-06-03 21:55:11 | Epoch [7/50] | Batch 130/509 | d_loss: 0.4584 | g_loss: 2.8299 2023-06-03 21:55:12 | Epoch [7/50] | Batch 135/509 | d_loss: 0.6507 | g_loss: 3.7834 2023-06-03 21:55:14 | Epoch [7/50] | Batch 140/509 | d_loss: 0.4073 | g_loss: 2.9838 2023-06-03 21:55:16 | Epoch [7/50] | Batch 145/509 | d_loss: 0.4395 | g_loss: 3.6499 2023-06-03 21:55:17 | Epoch [7/50] | Batch 150/509 | d_loss: 0.6765 | g_loss: 3.7200 2023-06-03 21:55:19 | Epoch [7/50] | Batch 155/509 | d_loss: 0.3801 | g_loss: 3.7768 2023-06-03 21:55:21 | Epoch [7/50] | Batch 160/509 | d_loss: 0.4070 | g_loss: 3.4244 2023-06-03 21:55:22 | Epoch [7/50] | Batch 165/509 | d_loss: 0.4906 | g_loss: 4.4223 2023-06-03 21:55:24 | Epoch [7/50] | Batch 170/509 | d_loss: 0.3556 | g_loss: 5.5104 2023-06-03 21:55:26 | Epoch [7/50] | Batch 175/509 | d_loss: 0.4268 | g_loss: 4.8091 2023-06-03 21:55:27 | Epoch [7/50] | Batch 180/509 | d_loss: 1.0312 | g_loss: 5.9233 2023-06-03 21:55:29 | Epoch [7/50] | Batch 185/509 | d_loss: 2.0657 | g_loss: 5.4608 2023-06-03 21:55:30 | Epoch [7/50] | Batch 190/509 | d_loss: 0.4634 | g_loss: 3.3207 2023-06-03 21:55:32 | Epoch [7/50] | Batch 195/509 | d_loss: 0.4763 | g_loss: 2.3331 2023-06-03 21:55:34 | Epoch [7/50] | Batch 200/509 | d_loss: 0.3716 | g_loss: 5.3622 2023-06-03 21:55:35 | Epoch [7/50] | Batch 205/509 | d_loss: 0.9971 | g_loss: 5.8457 2023-06-03 21:55:37 | Epoch [7/50] | Batch 210/509 | d_loss: 0.5553 | g_loss: 6.1261 2023-06-03 21:55:39 | Epoch [7/50] | Batch 215/509 | d_loss: 0.5050 | g_loss: 2.7058 2023-06-03 21:55:40 | Epoch [7/50] | Batch 220/509 | d_loss: 0.4483 | g_loss: 3.9398 2023-06-03 21:55:42 | Epoch [7/50] | Batch 225/509 | d_loss: 0.3865 | g_loss: 3.9173 2023-06-03 21:55:44 | Epoch [7/50] | Batch 230/509 | d_loss: 0.4090 | g_loss: 3.5756 2023-06-03 21:55:45 | Epoch [7/50] | Batch 235/509 | d_loss: 0.4073 | g_loss: 3.5662 2023-06-03 21:55:47 | Epoch [7/50] | Batch 240/509 | d_loss: 0.5834 | g_loss: 4.0748 2023-06-03 21:55:48 | Epoch [7/50] | Batch 245/509 | d_loss: 0.3686 | g_loss: 4.1035 2023-06-03 21:55:50 | Epoch [7/50] | Batch 250/509 | d_loss: 0.6293 | g_loss: 3.8872 2023-06-03 21:55:52 | Epoch [7/50] | Batch 255/509 | d_loss: 0.6480 | g_loss: 2.8101 2023-06-03 21:55:53 | Epoch [7/50] | Batch 260/509 | d_loss: 0.4333 | g_loss: 2.9118 2023-06-03 21:55:55 | Epoch [7/50] | Batch 265/509 | d_loss: 0.5173 | g_loss: 3.6526 2023-06-03 21:55:57 | Epoch [7/50] | Batch 270/509 | d_loss: 0.5314 | g_loss: 3.7624 2023-06-03 21:55:58 | Epoch [7/50] | Batch 275/509 | d_loss: 0.6176 | g_loss: 4.1377 2023-06-03 21:56:00 | Epoch [7/50] | Batch 280/509 | d_loss: 0.8425 | g_loss: 5.4208 2023-06-03 21:56:02 | Epoch [7/50] | Batch 285/509 | d_loss: 0.3829 | g_loss: 4.5341 2023-06-03 21:56:03 | Epoch [7/50] | Batch 290/509 | d_loss: 0.4898 | g_loss: 3.4251 2023-06-03 21:56:05 | Epoch [7/50] | Batch 295/509 | d_loss: 0.3579 | g_loss: 6.4867 2023-06-03 21:56:07 | Epoch [7/50] | Batch 300/509 | d_loss: 0.3929 | g_loss: 4.1713 2023-06-03 21:56:08 | Epoch [7/50] | Batch 305/509 | d_loss: 0.4906 | g_loss: 3.6475 2023-06-03 21:56:10 | Epoch [7/50] | Batch 310/509 | d_loss: 0.9016 | g_loss: 6.5743 2023-06-03 21:56:11 | Epoch [7/50] | Batch 315/509 | d_loss: 0.4258 | g_loss: 2.2007 2023-06-03 21:56:13 | Epoch [7/50] | Batch 320/509 | d_loss: 0.4648 | g_loss: 2.9133 2023-06-03 21:56:15 | Epoch [7/50] | Batch 325/509 | d_loss: 0.5595 | g_loss: 4.0067 2023-06-03 21:56:16 | Epoch [7/50] | Batch 330/509 | d_loss: 0.5228 | g_loss: 2.8704 2023-06-03 21:56:18 | Epoch [7/50] | Batch 335/509 | d_loss: 0.3950 | g_loss: 3.7448 2023-06-03 21:56:20 | Epoch [7/50] | Batch 340/509 | d_loss: 1.3366 | g_loss: 2.4936 2023-06-03 21:56:21 | Epoch [7/50] | Batch 345/509 | d_loss: 0.9138 | g_loss: 4.1513 2023-06-03 21:56:23 | Epoch [7/50] | Batch 350/509 | d_loss: 0.5112 | g_loss: 2.7386 2023-06-03 21:56:25 | Epoch [7/50] | Batch 355/509 | d_loss: 0.3871 | g_loss: 3.8441 2023-06-03 21:56:26 | Epoch [7/50] | Batch 360/509 | d_loss: 0.7988 | g_loss: 3.5813 2023-06-03 21:56:28 | Epoch [7/50] | Batch 365/509 | d_loss: 0.4491 | g_loss: 2.4386 2023-06-03 21:56:30 | Epoch [7/50] | Batch 370/509 | d_loss: 0.4053 | g_loss: 3.7961 2023-06-03 21:56:31 | Epoch [7/50] | Batch 375/509 | d_loss: 0.4567 | g_loss: 2.9203 2023-06-03 21:56:33 | Epoch [7/50] | Batch 380/509 | d_loss: 0.3927 | g_loss: 3.9417 2023-06-03 21:56:34 | Epoch [7/50] | Batch 385/509 | d_loss: 0.5250 | g_loss: 2.7109 2023-06-03 21:56:36 | Epoch [7/50] | Batch 390/509 | d_loss: 0.4210 | g_loss: 2.4451 2023-06-03 21:56:38 | Epoch [7/50] | Batch 395/509 | d_loss: 0.4150 | g_loss: 3.3280 2023-06-03 21:56:39 | Epoch [7/50] | Batch 400/509 | d_loss: 0.4789 | g_loss: 3.6860 2023-06-03 21:56:41 | Epoch [7/50] | Batch 405/509 | d_loss: 0.3550 | g_loss: 4.8832 2023-06-03 21:56:43 | Epoch [7/50] | Batch 410/509 | d_loss: 0.4075 | g_loss: 3.8822 2023-06-03 21:56:44 | Epoch [7/50] | Batch 415/509 | d_loss: 0.3995 | g_loss: 3.9584 2023-06-03 21:56:46 | Epoch [7/50] | Batch 420/509 | d_loss: 3.7481 | g_loss: 4.0394 2023-06-03 21:56:48 | Epoch [7/50] | Batch 425/509 | d_loss: 0.6661 | g_loss: 3.1208 2023-06-03 21:56:49 | Epoch [7/50] | Batch 430/509 | d_loss: 0.4768 | g_loss: 3.1738 2023-06-03 21:56:51 | Epoch [7/50] | Batch 435/509 | d_loss: 0.5397 | g_loss: 3.2662 2023-06-03 21:56:53 | Epoch [7/50] | Batch 440/509 | d_loss: 0.6587 | g_loss: 4.9820 2023-06-03 21:56:54 | Epoch [7/50] | Batch 445/509 | d_loss: 0.4355 | g_loss: 3.2343 2023-06-03 21:56:56 | Epoch [7/50] | Batch 450/509 | d_loss: 1.0947 | g_loss: 4.2678 2023-06-03 21:56:57 | Epoch [7/50] | Batch 455/509 | d_loss: 0.5102 | g_loss: 5.6190 2023-06-03 21:56:59 | Epoch [7/50] | Batch 460/509 | d_loss: 0.4530 | g_loss: 3.4552 2023-06-03 21:57:01 | Epoch [7/50] | Batch 465/509 | d_loss: 0.4021 | g_loss: 3.7935 2023-06-03 21:57:02 | Epoch [7/50] | Batch 470/509 | d_loss: 0.4358 | g_loss: 3.5389 2023-06-03 21:57:04 | Epoch [7/50] | Batch 475/509 | d_loss: 0.4852 | g_loss: 3.3828 2023-06-03 21:57:06 | Epoch [7/50] | Batch 480/509 | d_loss: 0.5079 | g_loss: 3.6396 2023-06-03 21:57:07 | Epoch [7/50] | Batch 485/509 | d_loss: 0.6878 | g_loss: 3.7931 2023-06-03 21:57:09 | Epoch [7/50] | Batch 490/509 | d_loss: 0.6007 | g_loss: 4.2600 2023-06-03 21:57:11 | Epoch [7/50] | Batch 495/509 | d_loss: 0.3792 | g_loss: 4.6010 2023-06-03 21:57:12 | Epoch [7/50] | Batch 500/509 | d_loss: 0.4225 | g_loss: 3.6140 2023-06-03 21:57:14 | Epoch [7/50] | Batch 505/509 | d_loss: 1.0665 | g_loss: 3.2162
2023-06-03 21:57:16 | Epoch [8/50] | Batch 0/509 | d_loss: 0.4703 | g_loss: 3.0397 2023-06-03 21:57:18 | Epoch [8/50] | Batch 5/509 | d_loss: 0.4768 | g_loss: 2.9763 2023-06-03 21:57:20 | Epoch [8/50] | Batch 10/509 | d_loss: 0.3777 | g_loss: 4.3025 2023-06-03 21:57:21 | Epoch [8/50] | Batch 15/509 | d_loss: 0.3805 | g_loss: 4.0536 2023-06-03 21:57:23 | Epoch [8/50] | Batch 20/509 | d_loss: 0.7545 | g_loss: 5.3311 2023-06-03 21:57:25 | Epoch [8/50] | Batch 25/509 | d_loss: 1.1222 | g_loss: 6.2289 2023-06-03 21:57:26 | Epoch [8/50] | Batch 30/509 | d_loss: 0.4284 | g_loss: 4.7271 2023-06-03 21:57:28 | Epoch [8/50] | Batch 35/509 | d_loss: 0.4551 | g_loss: 3.3057 2023-06-03 21:57:30 | Epoch [8/50] | Batch 40/509 | d_loss: 0.5544 | g_loss: 3.7106 2023-06-03 21:57:31 | Epoch [8/50] | Batch 45/509 | d_loss: 0.6301 | g_loss: 3.5298 2023-06-03 21:57:33 | Epoch [8/50] | Batch 50/509 | d_loss: 0.8727 | g_loss: 7.5735 2023-06-03 21:57:35 | Epoch [8/50] | Batch 55/509 | d_loss: 0.9920 | g_loss: 4.9658 2023-06-03 21:57:36 | Epoch [8/50] | Batch 60/509 | d_loss: 0.3619 | g_loss: 5.1404 2023-06-03 21:57:38 | Epoch [8/50] | Batch 65/509 | d_loss: 0.3887 | g_loss: 4.6561 2023-06-03 21:57:39 | Epoch [8/50] | Batch 70/509 | d_loss: 0.3601 | g_loss: 4.2795 2023-06-03 21:57:41 | Epoch [8/50] | Batch 75/509 | d_loss: 0.3463 | g_loss: 5.5047 2023-06-03 21:57:43 | Epoch [8/50] | Batch 80/509 | d_loss: 0.3810 | g_loss: 3.8093 2023-06-03 21:57:44 | Epoch [8/50] | Batch 85/509 | d_loss: 0.4518 | g_loss: 3.4443 2023-06-03 21:57:46 | Epoch [8/50] | Batch 90/509 | d_loss: 0.5045 | g_loss: 3.4959 2023-06-03 21:57:48 | Epoch [8/50] | Batch 95/509 | d_loss: 0.3524 | g_loss: 6.1754 2023-06-03 21:57:49 | Epoch [8/50] | Batch 100/509 | d_loss: 0.5679 | g_loss: 2.5658 2023-06-03 21:57:51 | Epoch [8/50] | Batch 105/509 | d_loss: 0.4919 | g_loss: 2.4881 2023-06-03 21:57:53 | Epoch [8/50] | Batch 110/509 | d_loss: 0.3835 | g_loss: 3.6213 2023-06-03 21:57:54 | Epoch [8/50] | Batch 115/509 | d_loss: 0.5822 | g_loss: 3.5647 2023-06-03 21:57:56 | Epoch [8/50] | Batch 120/509 | d_loss: 2.4950 | g_loss: 4.5300 2023-06-03 21:57:58 | Epoch [8/50] | Batch 125/509 | d_loss: 1.3296 | g_loss: 6.6398 2023-06-03 21:57:59 | Epoch [8/50] | Batch 130/509 | d_loss: 0.6566 | g_loss: 3.7140 2023-06-03 21:58:01 | Epoch [8/50] | Batch 135/509 | d_loss: 0.4918 | g_loss: 3.4616 2023-06-03 21:58:02 | Epoch [8/50] | Batch 140/509 | d_loss: 0.4773 | g_loss: 3.2529 2023-06-03 21:58:04 | Epoch [8/50] | Batch 145/509 | d_loss: 0.3874 | g_loss: 4.0244 2023-06-03 21:58:06 | Epoch [8/50] | Batch 150/509 | d_loss: 0.5076 | g_loss: 3.9024 2023-06-03 21:58:07 | Epoch [8/50] | Batch 155/509 | d_loss: 0.4725 | g_loss: 2.8435 2023-06-03 21:58:09 | Epoch [8/50] | Batch 160/509 | d_loss: 0.4492 | g_loss: 3.1649 2023-06-03 21:58:11 | Epoch [8/50] | Batch 165/509 | d_loss: 0.5469 | g_loss: 4.0473 2023-06-03 21:58:12 | Epoch [8/50] | Batch 170/509 | d_loss: 0.3680 | g_loss: 5.6105 2023-06-03 21:58:14 | Epoch [8/50] | Batch 175/509 | d_loss: 0.8235 | g_loss: 5.1770 2023-06-03 21:58:16 | Epoch [8/50] | Batch 180/509 | d_loss: 0.4885 | g_loss: 3.2985 2023-06-03 21:58:17 | Epoch [8/50] | Batch 185/509 | d_loss: 0.4205 | g_loss: 3.4067 2023-06-03 21:58:19 | Epoch [8/50] | Batch 190/509 | d_loss: 1.8366 | g_loss: 4.6906 2023-06-03 21:58:21 | Epoch [8/50] | Batch 195/509 | d_loss: 0.7476 | g_loss: 3.7984 2023-06-03 21:58:22 | Epoch [8/50] | Batch 200/509 | d_loss: 0.6066 | g_loss: 1.7819 2023-06-03 21:58:24 | Epoch [8/50] | Batch 205/509 | d_loss: 0.5594 | g_loss: 3.3763 2023-06-03 21:58:26 | Epoch [8/50] | Batch 210/509 | d_loss: 0.5057 | g_loss: 2.6660 2023-06-03 21:58:27 | Epoch [8/50] | Batch 215/509 | d_loss: 0.5656 | g_loss: 4.6387 2023-06-03 21:58:29 | Epoch [8/50] | Batch 220/509 | d_loss: 0.3640 | g_loss: 4.8094 2023-06-03 21:58:31 | Epoch [8/50] | Batch 225/509 | d_loss: 0.6569 | g_loss: 3.8143 2023-06-03 21:58:32 | Epoch [8/50] | Batch 230/509 | d_loss: 0.3580 | g_loss: 5.8075 2023-06-03 21:58:34 | Epoch [8/50] | Batch 235/509 | d_loss: 0.9317 | g_loss: 5.0857 2023-06-03 21:58:35 | Epoch [8/50] | Batch 240/509 | d_loss: 0.4626 | g_loss: 3.7547 2023-06-03 21:58:37 | Epoch [8/50] | Batch 245/509 | d_loss: 0.4590 | g_loss: 4.3446 2023-06-03 21:58:39 | Epoch [8/50] | Batch 250/509 | d_loss: 0.5704 | g_loss: 3.4042 2023-06-03 21:58:40 | Epoch [8/50] | Batch 255/509 | d_loss: 0.4283 | g_loss: 3.5610 2023-06-03 21:58:42 | Epoch [8/50] | Batch 260/509 | d_loss: 0.4109 | g_loss: 3.4568 2023-06-03 21:58:44 | Epoch [8/50] | Batch 265/509 | d_loss: 2.0417 | g_loss: 2.9901 2023-06-03 21:58:45 | Epoch [8/50] | Batch 270/509 | d_loss: 0.4847 | g_loss: 2.8145 2023-06-03 21:58:47 | Epoch [8/50] | Batch 275/509 | d_loss: 0.4499 | g_loss: 4.1291 2023-06-03 21:58:49 | Epoch [8/50] | Batch 280/509 | d_loss: 0.7897 | g_loss: 5.5143 2023-06-03 21:58:50 | Epoch [8/50] | Batch 285/509 | d_loss: 0.4312 | g_loss: 3.7553 2023-06-03 21:58:52 | Epoch [8/50] | Batch 290/509 | d_loss: 0.4088 | g_loss: 4.2917 2023-06-03 21:58:54 | Epoch [8/50] | Batch 295/509 | d_loss: 0.3832 | g_loss: 3.8753 2023-06-03 21:58:55 | Epoch [8/50] | Batch 300/509 | d_loss: 0.6897 | g_loss: 5.5492 2023-06-03 21:58:57 | Epoch [8/50] | Batch 305/509 | d_loss: 2.2452 | g_loss: 2.8382 2023-06-03 21:58:59 | Epoch [8/50] | Batch 310/509 | d_loss: 0.5192 | g_loss: 4.3103 2023-06-03 21:59:00 | Epoch [8/50] | Batch 315/509 | d_loss: 0.8915 | g_loss: 2.3721 2023-06-03 21:59:02 | Epoch [8/50] | Batch 320/509 | d_loss: 0.6160 | g_loss: 2.6428 2023-06-03 21:59:04 | Epoch [8/50] | Batch 325/509 | d_loss: 0.6446 | g_loss: 2.5457 2023-06-03 21:59:05 | Epoch [8/50] | Batch 330/509 | d_loss: 0.4705 | g_loss: 2.5270 2023-06-03 21:59:07 | Epoch [8/50] | Batch 335/509 | d_loss: 0.4377 | g_loss: 3.4335 2023-06-03 21:59:08 | Epoch [8/50] | Batch 340/509 | d_loss: 0.4681 | g_loss: 2.9124 2023-06-03 21:59:10 | Epoch [8/50] | Batch 345/509 | d_loss: 0.4796 | g_loss: 2.3120 2023-06-03 21:59:12 | Epoch [8/50] | Batch 350/509 | d_loss: 0.3677 | g_loss: 4.0343 2023-06-03 21:59:13 | Epoch [8/50] | Batch 355/509 | d_loss: 0.3970 | g_loss: 3.6960 2023-06-03 21:59:15 | Epoch [8/50] | Batch 360/509 | d_loss: 0.4195 | g_loss: 2.9168 2023-06-03 21:59:17 | Epoch [8/50] | Batch 365/509 | d_loss: 0.6423 | g_loss: 4.9877 2023-06-03 21:59:18 | Epoch [8/50] | Batch 370/509 | d_loss: 0.4680 | g_loss: 3.2517 2023-06-03 21:59:20 | Epoch [8/50] | Batch 375/509 | d_loss: 0.4198 | g_loss: 3.1866 2023-06-03 21:59:22 | Epoch [8/50] | Batch 380/509 | d_loss: 0.3657 | g_loss: 5.1204 2023-06-03 21:59:23 | Epoch [8/50] | Batch 385/509 | d_loss: 0.5586 | g_loss: 3.8891 2023-06-03 21:59:25 | Epoch [8/50] | Batch 390/509 | d_loss: 1.2022 | g_loss: 3.6356 2023-06-03 21:59:27 | Epoch [8/50] | Batch 395/509 | d_loss: 0.7293 | g_loss: 6.4138 2023-06-03 21:59:28 | Epoch [8/50] | Batch 400/509 | d_loss: 0.9870 | g_loss: 4.0686 2023-06-03 21:59:30 | Epoch [8/50] | Batch 405/509 | d_loss: 0.5137 | g_loss: 3.6105 2023-06-03 21:59:32 | Epoch [8/50] | Batch 410/509 | d_loss: 0.4192 | g_loss: 3.8186 2023-06-03 21:59:33 | Epoch [8/50] | Batch 415/509 | d_loss: 0.4271 | g_loss: 3.3686 2023-06-03 21:59:35 | Epoch [8/50] | Batch 420/509 | d_loss: 0.3724 | g_loss: 4.3954 2023-06-03 21:59:37 | Epoch [8/50] | Batch 425/509 | d_loss: 0.4333 | g_loss: 3.6826 2023-06-03 21:59:38 | Epoch [8/50] | Batch 430/509 | d_loss: 0.6032 | g_loss: 3.7826 2023-06-03 21:59:40 | Epoch [8/50] | Batch 435/509 | d_loss: 0.4627 | g_loss: 3.6048 2023-06-03 21:59:41 | Epoch [8/50] | Batch 440/509 | d_loss: 0.6094 | g_loss: 2.7753 2023-06-03 21:59:43 | Epoch [8/50] | Batch 445/509 | d_loss: 0.5375 | g_loss: 4.3804 2023-06-03 21:59:45 | Epoch [8/50] | Batch 450/509 | d_loss: 0.5256 | g_loss: 3.6690 2023-06-03 21:59:46 | Epoch [8/50] | Batch 455/509 | d_loss: 0.4359 | g_loss: 3.6509 2023-06-03 21:59:48 | Epoch [8/50] | Batch 460/509 | d_loss: 0.3855 | g_loss: 4.4030 2023-06-03 21:59:50 | Epoch [8/50] | Batch 465/509 | d_loss: 0.4181 | g_loss: 3.0462 2023-06-03 21:59:51 | Epoch [8/50] | Batch 470/509 | d_loss: 0.3740 | g_loss: 4.2381 2023-06-03 21:59:53 | Epoch [8/50] | Batch 475/509 | d_loss: 0.3635 | g_loss: 4.4997 2023-06-03 21:59:55 | Epoch [8/50] | Batch 480/509 | d_loss: 0.4126 | g_loss: 3.7208 2023-06-03 21:59:56 | Epoch [8/50] | Batch 485/509 | d_loss: 0.4451 | g_loss: 4.3100 2023-06-03 21:59:58 | Epoch [8/50] | Batch 490/509 | d_loss: 0.3514 | g_loss: 6.1404 2023-06-03 22:00:00 | Epoch [8/50] | Batch 495/509 | d_loss: 0.4092 | g_loss: 3.7974 2023-06-03 22:00:01 | Epoch [8/50] | Batch 500/509 | d_loss: 0.6256 | g_loss: 2.0362 2023-06-03 22:00:03 | Epoch [8/50] | Batch 505/509 | d_loss: 0.4442 | g_loss: 4.0137
2023-06-03 22:00:05 | Epoch [9/50] | Batch 0/509 | d_loss: 0.3582 | g_loss: 5.5656 2023-06-03 22:00:07 | Epoch [9/50] | Batch 5/509 | d_loss: 0.5465 | g_loss: 3.3306 2023-06-03 22:00:09 | Epoch [9/50] | Batch 10/509 | d_loss: 0.3818 | g_loss: 4.1798 2023-06-03 22:00:10 | Epoch [9/50] | Batch 15/509 | d_loss: 0.3466 | g_loss: 5.4500 2023-06-03 22:00:12 | Epoch [9/50] | Batch 20/509 | d_loss: 0.3700 | g_loss: 4.1656 2023-06-03 22:00:14 | Epoch [9/50] | Batch 25/509 | d_loss: 0.3523 | g_loss: 6.4795 2023-06-03 22:00:15 | Epoch [9/50] | Batch 30/509 | d_loss: 0.6344 | g_loss: 4.7009 2023-06-03 22:00:17 | Epoch [9/50] | Batch 35/509 | d_loss: 0.5782 | g_loss: 4.3967 2023-06-03 22:00:19 | Epoch [9/50] | Batch 40/509 | d_loss: 0.4748 | g_loss: 3.9299 2023-06-03 22:00:20 | Epoch [9/50] | Batch 45/509 | d_loss: 0.3470 | g_loss: 4.4937 2023-06-03 22:00:22 | Epoch [9/50] | Batch 50/509 | d_loss: 1.0643 | g_loss: 5.1998 2023-06-03 22:00:24 | Epoch [9/50] | Batch 55/509 | d_loss: 0.4420 | g_loss: 4.7066 2023-06-03 22:00:25 | Epoch [9/50] | Batch 60/509 | d_loss: 0.5077 | g_loss: 6.5419 2023-06-03 22:00:27 | Epoch [9/50] | Batch 65/509 | d_loss: 0.3603 | g_loss: 4.9577 2023-06-03 22:00:28 | Epoch [9/50] | Batch 70/509 | d_loss: 0.4413 | g_loss: 3.2124 2023-06-03 22:00:30 | Epoch [9/50] | Batch 75/509 | d_loss: 0.3789 | g_loss: 4.5610 2023-06-03 22:00:32 | Epoch [9/50] | Batch 80/509 | d_loss: 0.4851 | g_loss: 2.6857 2023-06-03 22:00:33 | Epoch [9/50] | Batch 85/509 | d_loss: 0.3624 | g_loss: 7.4833 2023-06-03 22:00:35 | Epoch [9/50] | Batch 90/509 | d_loss: 0.3680 | g_loss: 4.5301 2023-06-03 22:00:37 | Epoch [9/50] | Batch 95/509 | d_loss: 0.4435 | g_loss: 3.3947 2023-06-03 22:00:38 | Epoch [9/50] | Batch 100/509 | d_loss: 0.4897 | g_loss: 5.1314 2023-06-03 22:00:40 | Epoch [9/50] | Batch 105/509 | d_loss: 0.5679 | g_loss: 4.2491 2023-06-03 22:00:42 | Epoch [9/50] | Batch 110/509 | d_loss: 0.5098 | g_loss: 3.1851 2023-06-03 22:00:43 | Epoch [9/50] | Batch 115/509 | d_loss: 0.4561 | g_loss: 4.3402 2023-06-03 22:00:45 | Epoch [9/50] | Batch 120/509 | d_loss: 0.3947 | g_loss: 3.5873 2023-06-03 22:00:47 | Epoch [9/50] | Batch 125/509 | d_loss: 0.3943 | g_loss: 3.6828 2023-06-03 22:00:48 | Epoch [9/50] | Batch 130/509 | d_loss: 0.5344 | g_loss: 4.6506 2023-06-03 22:00:50 | Epoch [9/50] | Batch 135/509 | d_loss: 0.4242 | g_loss: 2.9400 2023-06-03 22:00:52 | Epoch [9/50] | Batch 140/509 | d_loss: 0.3986 | g_loss: 4.1207 2023-06-03 22:00:53 | Epoch [9/50] | Batch 145/509 | d_loss: 1.3047 | g_loss: 3.2388 2023-06-03 22:00:55 | Epoch [9/50] | Batch 150/509 | d_loss: 2.5145 | g_loss: 4.3429 2023-06-03 22:00:57 | Epoch [9/50] | Batch 155/509 | d_loss: 0.4544 | g_loss: 3.7858 2023-06-03 22:00:58 | Epoch [9/50] | Batch 160/509 | d_loss: 0.5420 | g_loss: 3.1921 2023-06-03 22:01:00 | Epoch [9/50] | Batch 165/509 | d_loss: 0.3831 | g_loss: 3.8035 2023-06-03 22:01:02 | Epoch [9/50] | Batch 170/509 | d_loss: 0.3581 | g_loss: 5.9025 2023-06-03 22:01:03 | Epoch [9/50] | Batch 175/509 | d_loss: 0.6376 | g_loss: 2.1853 2023-06-03 22:01:05 | Epoch [9/50] | Batch 180/509 | d_loss: 0.3970 | g_loss: 3.8702 2023-06-03 22:01:06 | Epoch [9/50] | Batch 185/509 | d_loss: 0.3727 | g_loss: 4.5831 2023-06-03 22:01:08 | Epoch [9/50] | Batch 190/509 | d_loss: 0.4342 | g_loss: 3.7306 2023-06-03 22:01:10 | Epoch [9/50] | Batch 195/509 | d_loss: 0.4406 | g_loss: 4.5708 2023-06-03 22:01:11 | Epoch [9/50] | Batch 200/509 | d_loss: 0.3618 | g_loss: 4.8885 2023-06-03 22:01:13 | Epoch [9/50] | Batch 205/509 | d_loss: 0.4018 | g_loss: 3.3570 2023-06-03 22:01:15 | Epoch [9/50] | Batch 210/509 | d_loss: 0.3539 | g_loss: 5.7529 2023-06-03 22:01:16 | Epoch [9/50] | Batch 215/509 | d_loss: 0.3977 | g_loss: 4.7194 2023-06-03 22:01:18 | Epoch [9/50] | Batch 220/509 | d_loss: 0.5225 | g_loss: 4.2897 2023-06-03 22:01:20 | Epoch [9/50] | Batch 225/509 | d_loss: 0.6254 | g_loss: 4.7690 2023-06-03 22:01:21 | Epoch [9/50] | Batch 230/509 | d_loss: 0.3562 | g_loss: 5.7727 2023-06-03 22:01:23 | Epoch [9/50] | Batch 235/509 | d_loss: 0.4560 | g_loss: 2.3420 2023-06-03 22:01:25 | Epoch [9/50] | Batch 240/509 | d_loss: 0.4186 | g_loss: 2.6174 2023-06-03 22:01:26 | Epoch [9/50] | Batch 245/509 | d_loss: 0.4344 | g_loss: 2.7556 2023-06-03 22:01:28 | Epoch [9/50] | Batch 250/509 | d_loss: 0.4716 | g_loss: 2.6610 2023-06-03 22:01:30 | Epoch [9/50] | Batch 255/509 | d_loss: 0.4014 | g_loss: 4.1769 2023-06-03 22:01:31 | Epoch [9/50] | Batch 260/509 | d_loss: 0.4022 | g_loss: 4.2629 2023-06-03 22:01:33 | Epoch [9/50] | Batch 265/509 | d_loss: 0.4115 | g_loss: 4.8882 2023-06-03 22:01:35 | Epoch [9/50] | Batch 270/509 | d_loss: 0.4038 | g_loss: 3.6068 2023-06-03 22:01:36 | Epoch [9/50] | Batch 275/509 | d_loss: 0.6851 | g_loss: 6.8514 2023-06-03 22:01:38 | Epoch [9/50] | Batch 280/509 | d_loss: 2.0863 | g_loss: 8.4106 2023-06-03 22:01:40 | Epoch [9/50] | Batch 285/509 | d_loss: 1.6751 | g_loss: 5.3815 2023-06-03 22:01:41 | Epoch [9/50] | Batch 290/509 | d_loss: 0.6375 | g_loss: 2.0416 2023-06-03 22:01:43 | Epoch [9/50] | Batch 295/509 | d_loss: 0.4424 | g_loss: 3.1615 2023-06-03 22:01:44 | Epoch [9/50] | Batch 300/509 | d_loss: 0.4882 | g_loss: 3.5893 2023-06-03 22:01:46 | Epoch [9/50] | Batch 305/509 | d_loss: 0.7080 | g_loss: 3.6139 2023-06-03 22:01:48 | Epoch [9/50] | Batch 310/509 | d_loss: 0.4031 | g_loss: 3.9081 2023-06-03 22:01:49 | Epoch [9/50] | Batch 315/509 | d_loss: 0.6841 | g_loss: 3.2438 2023-06-03 22:01:51 | Epoch [9/50] | Batch 320/509 | d_loss: 0.7094 | g_loss: 4.1504 2023-06-03 22:01:53 | Epoch [9/50] | Batch 325/509 | d_loss: 0.4902 | g_loss: 3.3189 2023-06-03 22:01:54 | Epoch [9/50] | Batch 330/509 | d_loss: 1.5940 | g_loss: 4.3365 2023-06-03 22:01:56 | Epoch [9/50] | Batch 335/509 | d_loss: 0.4804 | g_loss: 3.8905 2023-06-03 22:01:58 | Epoch [9/50] | Batch 340/509 | d_loss: 0.4031 | g_loss: 3.9605 2023-06-03 22:01:59 | Epoch [9/50] | Batch 345/509 | d_loss: 0.4338 | g_loss: 1.7894 2023-06-03 22:02:01 | Epoch [9/50] | Batch 350/509 | d_loss: 0.4582 | g_loss: 2.9505 2023-06-03 22:02:03 | Epoch [9/50] | Batch 355/509 | d_loss: 0.6558 | g_loss: 5.1551 2023-06-03 22:02:04 | Epoch [9/50] | Batch 360/509 | d_loss: 0.4067 | g_loss: 3.9946 2023-06-03 22:02:06 | Epoch [9/50] | Batch 365/509 | d_loss: 0.4789 | g_loss: 3.6817 2023-06-03 22:02:08 | Epoch [9/50] | Batch 370/509 | d_loss: 0.4186 | g_loss: 2.8851 2023-06-03 22:02:09 | Epoch [9/50] | Batch 375/509 | d_loss: 0.3710 | g_loss: 4.0803 2023-06-03 22:02:11 | Epoch [9/50] | Batch 380/509 | d_loss: 0.4524 | g_loss: 3.4938 2023-06-03 22:02:12 | Epoch [9/50] | Batch 385/509 | d_loss: 0.3569 | g_loss: 4.4563 2023-06-03 22:02:14 | Epoch [9/50] | Batch 390/509 | d_loss: 0.4438 | g_loss: 3.1417 2023-06-03 22:02:16 | Epoch [9/50] | Batch 395/509 | d_loss: 0.5467 | g_loss: 3.1096 2023-06-03 22:02:17 | Epoch [9/50] | Batch 400/509 | d_loss: 0.4768 | g_loss: 3.4317 2023-06-03 22:02:19 | Epoch [9/50] | Batch 405/509 | d_loss: 0.8432 | g_loss: 6.1004 2023-06-03 22:02:21 | Epoch [9/50] | Batch 410/509 | d_loss: 0.3967 | g_loss: 3.5064 2023-06-03 22:02:22 | Epoch [9/50] | Batch 415/509 | d_loss: 0.3738 | g_loss: 4.7769 2023-06-03 22:02:24 | Epoch [9/50] | Batch 420/509 | d_loss: 0.4069 | g_loss: 3.4344 2023-06-03 22:02:26 | Epoch [9/50] | Batch 425/509 | d_loss: 0.5438 | g_loss: 3.7786 2023-06-03 22:02:27 | Epoch [9/50] | Batch 430/509 | d_loss: 0.5565 | g_loss: 3.5606 2023-06-03 22:02:29 | Epoch [9/50] | Batch 435/509 | d_loss: 1.3117 | g_loss: 3.0357 2023-06-03 22:02:31 | Epoch [9/50] | Batch 440/509 | d_loss: 0.5180 | g_loss: 3.8175 2023-06-03 22:02:32 | Epoch [9/50] | Batch 445/509 | d_loss: 0.4983 | g_loss: 1.7951 2023-06-03 22:02:34 | Epoch [9/50] | Batch 450/509 | d_loss: 0.6479 | g_loss: 3.0599 2023-06-03 22:02:36 | Epoch [9/50] | Batch 455/509 | d_loss: 0.4386 | g_loss: 3.4553 2023-06-03 22:02:37 | Epoch [9/50] | Batch 460/509 | d_loss: 0.5114 | g_loss: 2.7332 2023-06-03 22:02:39 | Epoch [9/50] | Batch 465/509 | d_loss: 0.4332 | g_loss: 3.9223 2023-06-03 22:02:41 | Epoch [9/50] | Batch 470/509 | d_loss: 0.4803 | g_loss: 4.7019 2023-06-03 22:02:42 | Epoch [9/50] | Batch 475/509 | d_loss: 0.5099 | g_loss: 3.0692 2023-06-03 22:02:44 | Epoch [9/50] | Batch 480/509 | d_loss: 0.4744 | g_loss: 2.7328 2023-06-03 22:02:46 | Epoch [9/50] | Batch 485/509 | d_loss: 1.0541 | g_loss: 4.0703 2023-06-03 22:02:47 | Epoch [9/50] | Batch 490/509 | d_loss: 0.4037 | g_loss: 3.5458 2023-06-03 22:02:49 | Epoch [9/50] | Batch 495/509 | d_loss: 0.3995 | g_loss: 4.2977 2023-06-03 22:02:50 | Epoch [9/50] | Batch 500/509 | d_loss: 0.4642 | g_loss: 3.4390 2023-06-03 22:02:52 | Epoch [9/50] | Batch 505/509 | d_loss: 0.4753 | g_loss: 3.0617
2023-06-03 22:02:55 | Epoch [10/50] | Batch 0/509 | d_loss: 0.6930 | g_loss: 4.1981 2023-06-03 22:02:56 | Epoch [10/50] | Batch 5/509 | d_loss: 0.6767 | g_loss: 4.7939 2023-06-03 22:02:58 | Epoch [10/50] | Batch 10/509 | d_loss: 0.6652 | g_loss: 3.2189 2023-06-03 22:03:00 | Epoch [10/50] | Batch 15/509 | d_loss: 0.4110 | g_loss: 3.5783 2023-06-03 22:03:01 | Epoch [10/50] | Batch 20/509 | d_loss: 0.3868 | g_loss: 3.5079 2023-06-03 22:03:03 | Epoch [10/50] | Batch 25/509 | d_loss: 0.5053 | g_loss: 4.3147 2023-06-03 22:03:04 | Epoch [10/50] | Batch 30/509 | d_loss: 1.4955 | g_loss: 0.7797 2023-06-03 22:03:06 | Epoch [10/50] | Batch 35/509 | d_loss: 0.6217 | g_loss: 4.2931 2023-06-03 22:03:08 | Epoch [10/50] | Batch 40/509 | d_loss: 0.4455 | g_loss: 2.9389 2023-06-03 22:03:09 | Epoch [10/50] | Batch 45/509 | d_loss: 0.5168 | g_loss: 2.6844 2023-06-03 22:03:11 | Epoch [10/50] | Batch 50/509 | d_loss: 0.4118 | g_loss: 3.3455 2023-06-03 22:03:13 | Epoch [10/50] | Batch 55/509 | d_loss: 0.4862 | g_loss: 3.0183 2023-06-03 22:03:14 | Epoch [10/50] | Batch 60/509 | d_loss: 0.3820 | g_loss: 3.6595 2023-06-03 22:03:16 | Epoch [10/50] | Batch 65/509 | d_loss: 0.5298 | g_loss: 3.7969 2023-06-03 22:03:18 | Epoch [10/50] | Batch 70/509 | d_loss: 0.4409 | g_loss: 3.6865 2023-06-03 22:03:19 | Epoch [10/50] | Batch 75/509 | d_loss: 0.4050 | g_loss: 3.2819 2023-06-03 22:03:21 | Epoch [10/50] | Batch 80/509 | d_loss: 0.4517 | g_loss: 3.8944 2023-06-03 22:03:23 | Epoch [10/50] | Batch 85/509 | d_loss: 0.4774 | g_loss: 3.0126 2023-06-03 22:03:24 | Epoch [10/50] | Batch 90/509 | d_loss: 0.3807 | g_loss: 3.8645 2023-06-03 22:03:26 | Epoch [10/50] | Batch 95/509 | d_loss: 0.3991 | g_loss: 2.8920 2023-06-03 22:03:28 | Epoch [10/50] | Batch 100/509 | d_loss: 0.3697 | g_loss: 6.6047 2023-06-03 22:03:29 | Epoch [10/50] | Batch 105/509 | d_loss: 0.4069 | g_loss: 3.3275 2023-06-03 22:03:31 | Epoch [10/50] | Batch 110/509 | d_loss: 0.8597 | g_loss: 4.8206 2023-06-03 22:03:33 | Epoch [10/50] | Batch 115/509 | d_loss: 0.5776 | g_loss: 4.2170 2023-06-03 22:03:34 | Epoch [10/50] | Batch 120/509 | d_loss: 0.5764 | g_loss: 3.4854 2023-06-03 22:03:36 | Epoch [10/50] | Batch 125/509 | d_loss: 0.4072 | g_loss: 3.6820 2023-06-03 22:03:37 | Epoch [10/50] | Batch 130/509 | d_loss: 0.5277 | g_loss: 3.4766 2023-06-03 22:03:39 | Epoch [10/50] | Batch 135/509 | d_loss: 0.4251 | g_loss: 3.8308 2023-06-03 22:03:41 | Epoch [10/50] | Batch 140/509 | d_loss: 0.3790 | g_loss: 5.5199 2023-06-03 22:03:43 | Epoch [10/50] | Batch 145/509 | d_loss: 0.3797 | g_loss: 3.6987 2023-06-03 22:03:44 | Epoch [10/50] | Batch 150/509 | d_loss: 0.4926 | g_loss: 3.4236 2023-06-03 22:03:46 | Epoch [10/50] | Batch 155/509 | d_loss: 0.4880 | g_loss: 3.7493 2023-06-03 22:03:47 | Epoch [10/50] | Batch 160/509 | d_loss: 0.5320 | g_loss: 3.8908 2023-06-03 22:03:49 | Epoch [10/50] | Batch 165/509 | d_loss: 0.3908 | g_loss: 3.6477 2023-06-03 22:03:51 | Epoch [10/50] | Batch 170/509 | d_loss: 0.3946 | g_loss: 3.6561 2023-06-03 22:03:52 | Epoch [10/50] | Batch 175/509 | d_loss: 0.4142 | g_loss: 4.8699 2023-06-03 22:03:54 | Epoch [10/50] | Batch 180/509 | d_loss: 0.4282 | g_loss: 2.5780 2023-06-03 22:03:56 | Epoch [10/50] | Batch 185/509 | d_loss: 0.4318 | g_loss: 3.8148 2023-06-03 22:03:57 | Epoch [10/50] | Batch 190/509 | d_loss: 0.4433 | g_loss: 3.5015 2023-06-03 22:03:59 | Epoch [10/50] | Batch 195/509 | d_loss: 0.3970 | g_loss: 3.2838 2023-06-03 22:04:01 | Epoch [10/50] | Batch 200/509 | d_loss: 0.4192 | g_loss: 3.4397 2023-06-03 22:04:02 | Epoch [10/50] | Batch 205/509 | d_loss: 0.3675 | g_loss: 3.5192 2023-06-03 22:04:04 | Epoch [10/50] | Batch 210/509 | d_loss: 0.3649 | g_loss: 4.0981 2023-06-03 22:04:06 | Epoch [10/50] | Batch 215/509 | d_loss: 0.4403 | g_loss: 2.4678 2023-06-03 22:04:07 | Epoch [10/50] | Batch 220/509 | d_loss: 0.5460 | g_loss: 5.5516 2023-06-03 22:04:09 | Epoch [10/50] | Batch 225/509 | d_loss: 0.4435 | g_loss: 3.5905 2023-06-03 22:04:11 | Epoch [10/50] | Batch 230/509 | d_loss: 0.4173 | g_loss: 4.2119 2023-06-03 22:04:12 | Epoch [10/50] | Batch 235/509 | d_loss: 0.3626 | g_loss: 5.2779 2023-06-03 22:04:14 | Epoch [10/50] | Batch 240/509 | d_loss: 0.4558 | g_loss: 3.7211 2023-06-03 22:04:16 | Epoch [10/50] | Batch 245/509 | d_loss: 0.3902 | g_loss: 3.4548 2023-06-03 22:04:17 | Epoch [10/50] | Batch 250/509 | d_loss: 0.4177 | g_loss: 3.4835 2023-06-03 22:04:19 | Epoch [10/50] | Batch 255/509 | d_loss: 0.3576 | g_loss: 6.5374 2023-06-03 22:04:21 | Epoch [10/50] | Batch 260/509 | d_loss: 0.3998 | g_loss: 3.7517 2023-06-03 22:04:22 | Epoch [10/50] | Batch 265/509 | d_loss: 0.4207 | g_loss: 4.0916 2023-06-03 22:04:24 | Epoch [10/50] | Batch 270/509 | d_loss: 0.5523 | g_loss: 3.1047 2023-06-03 22:04:26 | Epoch [10/50] | Batch 275/509 | d_loss: 0.3618 | g_loss: 4.5765 2023-06-03 22:04:27 | Epoch [10/50] | Batch 280/509 | d_loss: 0.6532 | g_loss: 4.5815 2023-06-03 22:04:29 | Epoch [10/50] | Batch 285/509 | d_loss: 0.3517 | g_loss: 5.5222 2023-06-03 22:04:31 | Epoch [10/50] | Batch 290/509 | d_loss: 0.4117 | g_loss: 3.2198 2023-06-03 22:04:32 | Epoch [10/50] | Batch 295/509 | d_loss: 0.3627 | g_loss: 4.0271 2023-06-03 22:04:34 | Epoch [10/50] | Batch 300/509 | d_loss: 0.3743 | g_loss: 5.8018 2023-06-03 22:04:35 | Epoch [10/50] | Batch 305/509 | d_loss: 0.3549 | g_loss: 5.3778 2023-06-03 22:04:37 | Epoch [10/50] | Batch 310/509 | d_loss: 0.7762 | g_loss: 5.6261 2023-06-03 22:04:39 | Epoch [10/50] | Batch 315/509 | d_loss: 0.3738 | g_loss: 4.3186 2023-06-03 22:04:40 | Epoch [10/50] | Batch 320/509 | d_loss: 0.6661 | g_loss: 3.3133 2023-06-03 22:04:42 | Epoch [10/50] | Batch 325/509 | d_loss: 0.8086 | g_loss: 4.1864 2023-06-03 22:04:44 | Epoch [10/50] | Batch 330/509 | d_loss: 0.4311 | g_loss: 4.5240 2023-06-03 22:04:45 | Epoch [10/50] | Batch 335/509 | d_loss: 0.3795 | g_loss: 3.5562 2023-06-03 22:04:47 | Epoch [10/50] | Batch 340/509 | d_loss: 0.4151 | g_loss: 5.2519 2023-06-03 22:04:49 | Epoch [10/50] | Batch 345/509 | d_loss: 0.4306 | g_loss: 2.8943 2023-06-03 22:04:50 | Epoch [10/50] | Batch 350/509 | d_loss: 0.8308 | g_loss: 5.5931 2023-06-03 22:04:52 | Epoch [10/50] | Batch 355/509 | d_loss: 0.9292 | g_loss: 4.7180 2023-06-03 22:04:54 | Epoch [10/50] | Batch 360/509 | d_loss: 0.4341 | g_loss: 5.1607 2023-06-03 22:04:55 | Epoch [10/50] | Batch 365/509 | d_loss: 0.4350 | g_loss: 2.9285 2023-06-03 22:04:57 | Epoch [10/50] | Batch 370/509 | d_loss: 0.3781 | g_loss: 3.4366 2023-06-03 22:04:59 | Epoch [10/50] | Batch 375/509 | d_loss: 0.5445 | g_loss: 3.7452 2023-06-03 22:05:00 | Epoch [10/50] | Batch 380/509 | d_loss: 0.4373 | g_loss: 2.6501 2023-06-03 22:05:02 | Epoch [10/50] | Batch 385/509 | d_loss: 0.3997 | g_loss: 3.6578 2023-06-03 22:05:04 | Epoch [10/50] | Batch 390/509 | d_loss: 0.3511 | g_loss: 4.7644 2023-06-03 22:05:05 | Epoch [10/50] | Batch 395/509 | d_loss: 0.7816 | g_loss: 5.7778 2023-06-03 22:05:07 | Epoch [10/50] | Batch 400/509 | d_loss: 0.4217 | g_loss: 3.8495 2023-06-03 22:05:09 | Epoch [10/50] | Batch 405/509 | d_loss: 0.3670 | g_loss: 4.1295 2023-06-03 22:05:10 | Epoch [10/50] | Batch 410/509 | d_loss: 0.4160 | g_loss: 4.0780 2023-06-03 22:05:12 | Epoch [10/50] | Batch 415/509 | d_loss: 1.1303 | g_loss: 2.1388 2023-06-03 22:05:14 | Epoch [10/50] | Batch 420/509 | d_loss: 0.6223 | g_loss: 4.2288 2023-06-03 22:05:15 | Epoch [10/50] | Batch 425/509 | d_loss: 0.4842 | g_loss: 3.7114 2023-06-03 22:05:17 | Epoch [10/50] | Batch 430/509 | d_loss: 0.3639 | g_loss: 4.7653 2023-06-03 22:05:19 | Epoch [10/50] | Batch 435/509 | d_loss: 0.6127 | g_loss: 2.9033 2023-06-03 22:05:20 | Epoch [10/50] | Batch 440/509 | d_loss: 0.4140 | g_loss: 4.5712 2023-06-03 22:05:22 | Epoch [10/50] | Batch 445/509 | d_loss: 0.3962 | g_loss: 4.2750 2023-06-03 22:05:24 | Epoch [10/50] | Batch 450/509 | d_loss: 0.3653 | g_loss: 3.6362 2023-06-03 22:05:25 | Epoch [10/50] | Batch 455/509 | d_loss: 0.3748 | g_loss: 4.1967 2023-06-03 22:05:27 | Epoch [10/50] | Batch 460/509 | d_loss: 0.6874 | g_loss: 4.0536 2023-06-03 22:05:29 | Epoch [10/50] | Batch 465/509 | d_loss: 0.4152 | g_loss: 2.8573 2023-06-03 22:05:30 | Epoch [10/50] | Batch 470/509 | d_loss: 0.3963 | g_loss: 4.0989 2023-06-03 22:05:32 | Epoch [10/50] | Batch 475/509 | d_loss: 0.5133 | g_loss: 4.3172 2023-06-03 22:05:34 | Epoch [10/50] | Batch 480/509 | d_loss: 0.7620 | g_loss: 6.3678 2023-06-03 22:05:35 | Epoch [10/50] | Batch 485/509 | d_loss: 0.3775 | g_loss: 4.5576 2023-06-03 22:05:37 | Epoch [10/50] | Batch 490/509 | d_loss: 0.3914 | g_loss: 5.1360 2023-06-03 22:05:39 | Epoch [10/50] | Batch 495/509 | d_loss: 0.4775 | g_loss: 3.7083 2023-06-03 22:05:40 | Epoch [10/50] | Batch 500/509 | d_loss: 0.3994 | g_loss: 5.1069 2023-06-03 22:05:42 | Epoch [10/50] | Batch 505/509 | d_loss: 0.3966 | g_loss: 3.2025
2023-06-03 22:05:45 | Epoch [11/50] | Batch 0/509 | d_loss: 0.5117 | g_loss: 4.9893 2023-06-03 22:05:47 | Epoch [11/50] | Batch 5/509 | d_loss: 0.3469 | g_loss: 5.4760 2023-06-03 22:05:48 | Epoch [11/50] | Batch 10/509 | d_loss: 0.4186 | g_loss: 3.2685 2023-06-03 22:05:50 | Epoch [11/50] | Batch 15/509 | d_loss: 0.6434 | g_loss: 2.3843 2023-06-03 22:05:52 | Epoch [11/50] | Batch 20/509 | d_loss: 0.4603 | g_loss: 3.4060 2023-06-03 22:05:53 | Epoch [11/50] | Batch 25/509 | d_loss: 0.4928 | g_loss: 3.0301 2023-06-03 22:05:55 | Epoch [11/50] | Batch 30/509 | d_loss: 0.7601 | g_loss: 5.0014 2023-06-03 22:05:57 | Epoch [11/50] | Batch 35/509 | d_loss: 0.4950 | g_loss: 6.7376 2023-06-03 22:05:59 | Epoch [11/50] | Batch 40/509 | d_loss: 0.5222 | g_loss: 4.1193 2023-06-03 22:06:00 | Epoch [11/50] | Batch 45/509 | d_loss: 0.3932 | g_loss: 4.1422 2023-06-03 22:06:02 | Epoch [11/50] | Batch 50/509 | d_loss: 0.4146 | g_loss: 3.2263 2023-06-03 22:06:04 | Epoch [11/50] | Batch 55/509 | d_loss: 0.4125 | g_loss: 4.6244 2023-06-03 22:06:06 | Epoch [11/50] | Batch 60/509 | d_loss: 0.4904 | g_loss: 3.5507 2023-06-03 22:06:07 | Epoch [11/50] | Batch 65/509 | d_loss: 0.4729 | g_loss: 3.8204 2023-06-03 22:06:09 | Epoch [11/50] | Batch 70/509 | d_loss: 0.5606 | g_loss: 2.4916 2023-06-03 22:06:11 | Epoch [11/50] | Batch 75/509 | d_loss: 0.3574 | g_loss: 5.4206 2023-06-03 22:06:13 | Epoch [11/50] | Batch 80/509 | d_loss: 0.4043 | g_loss: 3.4007 2023-06-03 22:06:14 | Epoch [11/50] | Batch 85/509 | d_loss: 0.3973 | g_loss: 5.2573 2023-06-03 22:06:16 | Epoch [11/50] | Batch 90/509 | d_loss: 0.3914 | g_loss: 3.6640 2023-06-03 22:06:18 | Epoch [11/50] | Batch 95/509 | d_loss: 0.3551 | g_loss: 4.2387 2023-06-03 22:06:20 | Epoch [11/50] | Batch 100/509 | d_loss: 0.3882 | g_loss: 4.8854 2023-06-03 22:06:21 | Epoch [11/50] | Batch 105/509 | d_loss: 0.3787 | g_loss: 3.1580 2023-06-03 22:06:23 | Epoch [11/50] | Batch 110/509 | d_loss: 0.4066 | g_loss: 3.2183 2023-06-03 22:06:25 | Epoch [11/50] | Batch 115/509 | d_loss: 0.4255 | g_loss: 4.1587 2023-06-03 22:06:27 | Epoch [11/50] | Batch 120/509 | d_loss: 0.4202 | g_loss: 4.3417 2023-06-03 22:06:28 | Epoch [11/50] | Batch 125/509 | d_loss: 0.4052 | g_loss: 4.3923 2023-06-03 22:06:30 | Epoch [11/50] | Batch 130/509 | d_loss: 0.3739 | g_loss: 3.9199 2023-06-03 22:06:32 | Epoch [11/50] | Batch 135/509 | d_loss: 0.3988 | g_loss: 4.9370 2023-06-03 22:06:33 | Epoch [11/50] | Batch 140/509 | d_loss: 0.4836 | g_loss: 3.9325 2023-06-03 22:06:35 | Epoch [11/50] | Batch 145/509 | d_loss: 0.3863 | g_loss: 2.7007 2023-06-03 22:06:37 | Epoch [11/50] | Batch 150/509 | d_loss: 0.3711 | g_loss: 4.8609 2023-06-03 22:06:39 | Epoch [11/50] | Batch 155/509 | d_loss: 0.4835 | g_loss: 3.6490 2023-06-03 22:06:40 | Epoch [11/50] | Batch 160/509 | d_loss: 0.4202 | g_loss: 5.0895 2023-06-03 22:06:42 | Epoch [11/50] | Batch 165/509 | d_loss: 0.4207 | g_loss: 3.5358 2023-06-03 22:06:44 | Epoch [11/50] | Batch 170/509 | d_loss: 0.4327 | g_loss: 2.1064 2023-06-03 22:06:46 | Epoch [11/50] | Batch 175/509 | d_loss: 0.4409 | g_loss: 4.6362 2023-06-03 22:06:47 | Epoch [11/50] | Batch 180/509 | d_loss: 0.3791 | g_loss: 3.7117 2023-06-03 22:06:49 | Epoch [11/50] | Batch 185/509 | d_loss: 0.3541 | g_loss: 4.9729 2023-06-03 22:06:51 | Epoch [11/50] | Batch 190/509 | d_loss: 0.3881 | g_loss: 3.0089 2023-06-03 22:06:53 | Epoch [11/50] | Batch 195/509 | d_loss: 0.5510 | g_loss: 4.0275 2023-06-03 22:06:54 | Epoch [11/50] | Batch 200/509 | d_loss: 0.4276 | g_loss: 3.6691 2023-06-03 22:06:56 | Epoch [11/50] | Batch 205/509 | d_loss: 0.4362 | g_loss: 4.2757 2023-06-03 22:06:58 | Epoch [11/50] | Batch 210/509 | d_loss: 0.3733 | g_loss: 4.0101 2023-06-03 22:07:00 | Epoch [11/50] | Batch 215/509 | d_loss: 0.5848 | g_loss: 3.6481 2023-06-03 22:07:01 | Epoch [11/50] | Batch 220/509 | d_loss: 0.3890 | g_loss: 4.0363 2023-06-03 22:07:03 | Epoch [11/50] | Batch 225/509 | d_loss: 0.4126 | g_loss: 2.8429 2023-06-03 22:07:05 | Epoch [11/50] | Batch 230/509 | d_loss: 0.3685 | g_loss: 3.4840 2023-06-03 22:07:06 | Epoch [11/50] | Batch 235/509 | d_loss: 0.3649 | g_loss: 4.5954 2023-06-03 22:07:08 | Epoch [11/50] | Batch 240/509 | d_loss: 0.6613 | g_loss: 6.3393 2023-06-03 22:07:10 | Epoch [11/50] | Batch 245/509 | d_loss: 1.5373 | g_loss: 8.0627 2023-06-03 22:07:11 | Epoch [11/50] | Batch 250/509 | d_loss: 0.5027 | g_loss: 3.9395 2023-06-03 22:07:13 | Epoch [11/50] | Batch 255/509 | d_loss: 0.8510 | g_loss: 2.4084 2023-06-03 22:07:15 | Epoch [11/50] | Batch 260/509 | d_loss: 0.5137 | g_loss: 4.1347 2023-06-03 22:07:16 | Epoch [11/50] | Batch 265/509 | d_loss: 0.9980 | g_loss: 4.8166 2023-06-03 22:07:18 | Epoch [11/50] | Batch 270/509 | d_loss: 0.4873 | g_loss: 2.4728 2023-06-03 22:07:20 | Epoch [11/50] | Batch 275/509 | d_loss: 0.4785 | g_loss: 4.0033 2023-06-03 22:07:21 | Epoch [11/50] | Batch 280/509 | d_loss: 0.5161 | g_loss: 3.1074 2023-06-03 22:07:23 | Epoch [11/50] | Batch 285/509 | d_loss: 0.3725 | g_loss: 5.4692 2023-06-03 22:07:24 | Epoch [11/50] | Batch 290/509 | d_loss: 0.4863 | g_loss: 4.9659 2023-06-03 22:07:26 | Epoch [11/50] | Batch 295/509 | d_loss: 0.3793 | g_loss: 3.7750 2023-06-03 22:07:28 | Epoch [11/50] | Batch 300/509 | d_loss: 0.3796 | g_loss: 4.0089 2023-06-03 22:07:29 | Epoch [11/50] | Batch 305/509 | d_loss: 0.7496 | g_loss: 4.1929 2023-06-03 22:07:31 | Epoch [11/50] | Batch 310/509 | d_loss: 0.6121 | g_loss: 5.1336 2023-06-03 22:07:33 | Epoch [11/50] | Batch 315/509 | d_loss: 0.4462 | g_loss: 3.3973 2023-06-03 22:07:34 | Epoch [11/50] | Batch 320/509 | d_loss: 0.4869 | g_loss: 3.6727 2023-06-03 22:07:36 | Epoch [11/50] | Batch 325/509 | d_loss: 0.3812 | g_loss: 4.2165 2023-06-03 22:07:38 | Epoch [11/50] | Batch 330/509 | d_loss: 0.4689 | g_loss: 2.7563 2023-06-03 22:07:39 | Epoch [11/50] | Batch 335/509 | d_loss: 0.5321 | g_loss: 5.6080 2023-06-03 22:07:41 | Epoch [11/50] | Batch 340/509 | d_loss: 2.4134 | g_loss: 9.7345 2023-06-03 22:07:43 | Epoch [11/50] | Batch 345/509 | d_loss: 0.7286 | g_loss: 3.5200 2023-06-03 22:07:44 | Epoch [11/50] | Batch 350/509 | d_loss: 0.4481 | g_loss: 3.4532 2023-06-03 22:07:46 | Epoch [11/50] | Batch 355/509 | d_loss: 0.4528 | g_loss: 3.0193 2023-06-03 22:07:48 | Epoch [11/50] | Batch 360/509 | d_loss: 1.7070 | g_loss: 6.9524 2023-06-03 22:07:49 | Epoch [11/50] | Batch 365/509 | d_loss: 0.6050 | g_loss: 2.9683 2023-06-03 22:07:51 | Epoch [11/50] | Batch 370/509 | d_loss: 0.5014 | g_loss: 3.8362 2023-06-03 22:07:52 | Epoch [11/50] | Batch 375/509 | d_loss: 0.4964 | g_loss: 4.0101 2023-06-03 22:07:54 | Epoch [11/50] | Batch 380/509 | d_loss: 0.6256 | g_loss: 3.5049 2023-06-03 22:07:56 | Epoch [11/50] | Batch 385/509 | d_loss: 0.3901 | g_loss: 3.4534 2023-06-03 22:07:57 | Epoch [11/50] | Batch 390/509 | d_loss: 0.6828 | g_loss: 5.4003 2023-06-03 22:07:59 | Epoch [11/50] | Batch 395/509 | d_loss: 0.5158 | g_loss: 2.3675 2023-06-03 22:08:01 | Epoch [11/50] | Batch 400/509 | d_loss: 0.4648 | g_loss: 2.8493 2023-06-03 22:08:02 | Epoch [11/50] | Batch 405/509 | d_loss: 0.5718 | g_loss: 3.6411 2023-06-03 22:08:04 | Epoch [11/50] | Batch 410/509 | d_loss: 0.4202 | g_loss: 2.5715 2023-06-03 22:08:06 | Epoch [11/50] | Batch 415/509 | d_loss: 0.4945 | g_loss: 2.1862 2023-06-03 22:08:07 | Epoch [11/50] | Batch 420/509 | d_loss: 0.4203 | g_loss: 4.6658 2023-06-03 22:08:09 | Epoch [11/50] | Batch 425/509 | d_loss: 0.4204 | g_loss: 3.5179 2023-06-03 22:08:11 | Epoch [11/50] | Batch 430/509 | d_loss: 0.4287 | g_loss: 3.6704 2023-06-03 22:08:12 | Epoch [11/50] | Batch 435/509 | d_loss: 0.3648 | g_loss: 4.1605 2023-06-03 22:08:14 | Epoch [11/50] | Batch 440/509 | d_loss: 0.5266 | g_loss: 3.1316 2023-06-03 22:08:15 | Epoch [11/50] | Batch 445/509 | d_loss: 0.3935 | g_loss: 3.9752 2023-06-03 22:08:17 | Epoch [11/50] | Batch 450/509 | d_loss: 0.5275 | g_loss: 4.0840 2023-06-03 22:08:19 | Epoch [11/50] | Batch 455/509 | d_loss: 0.3876 | g_loss: 3.3684 2023-06-03 22:08:20 | Epoch [11/50] | Batch 460/509 | d_loss: 0.3870 | g_loss: 3.9682 2023-06-03 22:08:22 | Epoch [11/50] | Batch 465/509 | d_loss: 0.4322 | g_loss: 3.5215 2023-06-03 22:08:24 | Epoch [11/50] | Batch 470/509 | d_loss: 0.3532 | g_loss: 4.4888 2023-06-03 22:08:25 | Epoch [11/50] | Batch 475/509 | d_loss: 0.5457 | g_loss: 4.4044 2023-06-03 22:08:27 | Epoch [11/50] | Batch 480/509 | d_loss: 0.3583 | g_loss: 4.8647 2023-06-03 22:08:29 | Epoch [11/50] | Batch 485/509 | d_loss: 0.3723 | g_loss: 4.7821 2023-06-03 22:08:30 | Epoch [11/50] | Batch 490/509 | d_loss: 0.4344 | g_loss: 3.3893 2023-06-03 22:08:32 | Epoch [11/50] | Batch 495/509 | d_loss: 0.3905 | g_loss: 3.4611 2023-06-03 22:08:34 | Epoch [11/50] | Batch 500/509 | d_loss: 0.4044 | g_loss: 3.4920 2023-06-03 22:08:35 | Epoch [11/50] | Batch 505/509 | d_loss: 0.4350 | g_loss: 4.6547
2023-06-03 22:08:38 | Epoch [12/50] | Batch 0/509 | d_loss: 0.4175 | g_loss: 3.7269 2023-06-03 22:08:39 | Epoch [12/50] | Batch 5/509 | d_loss: 0.5890 | g_loss: 3.9542 2023-06-03 22:08:41 | Epoch [12/50] | Batch 10/509 | d_loss: 0.6536 | g_loss: 5.3459 2023-06-03 22:08:43 | Epoch [12/50] | Batch 15/509 | d_loss: 0.4315 | g_loss: 4.3601 2023-06-03 22:08:44 | Epoch [12/50] | Batch 20/509 | d_loss: 0.4899 | g_loss: 5.7190 2023-06-03 22:08:46 | Epoch [12/50] | Batch 25/509 | d_loss: 0.3783 | g_loss: 3.7432 2023-06-03 22:08:47 | Epoch [12/50] | Batch 30/509 | d_loss: 0.3633 | g_loss: 7.5317 2023-06-03 22:08:49 | Epoch [12/50] | Batch 35/509 | d_loss: 0.4794 | g_loss: 3.6441 2023-06-03 22:08:51 | Epoch [12/50] | Batch 40/509 | d_loss: 0.5767 | g_loss: 4.7648 2023-06-03 22:08:52 | Epoch [12/50] | Batch 45/509 | d_loss: 0.5208 | g_loss: 3.6477 2023-06-03 22:08:54 | Epoch [12/50] | Batch 50/509 | d_loss: 0.4713 | g_loss: 3.7318 2023-06-03 22:08:56 | Epoch [12/50] | Batch 55/509 | d_loss: 0.3759 | g_loss: 4.2739 2023-06-03 22:08:57 | Epoch [12/50] | Batch 60/509 | d_loss: 0.4257 | g_loss: 3.9830 2023-06-03 22:08:59 | Epoch [12/50] | Batch 65/509 | d_loss: 0.3723 | g_loss: 4.1783 2023-06-03 22:09:01 | Epoch [12/50] | Batch 70/509 | d_loss: 0.4190 | g_loss: 2.5010 2023-06-03 22:09:02 | Epoch [12/50] | Batch 75/509 | d_loss: 0.4347 | g_loss: 2.6529 2023-06-03 22:09:04 | Epoch [12/50] | Batch 80/509 | d_loss: 0.4738 | g_loss: 3.6129 2023-06-03 22:09:06 | Epoch [12/50] | Batch 85/509 | d_loss: 0.3848 | g_loss: 3.5984 2023-06-03 22:09:07 | Epoch [12/50] | Batch 90/509 | d_loss: 0.3898 | g_loss: 6.1189 2023-06-03 22:09:09 | Epoch [12/50] | Batch 95/509 | d_loss: 0.4600 | g_loss: 4.0536 2023-06-03 22:09:10 | Epoch [12/50] | Batch 100/509 | d_loss: 0.3430 | g_loss: 6.8108 2023-06-03 22:09:12 | Epoch [12/50] | Batch 105/509 | d_loss: 0.4269 | g_loss: 3.0895 2023-06-03 22:09:14 | Epoch [12/50] | Batch 110/509 | d_loss: 0.5799 | g_loss: 3.7972 2023-06-03 22:09:15 | Epoch [12/50] | Batch 115/509 | d_loss: 2.2322 | g_loss: 5.7473 2023-06-03 22:09:17 | Epoch [12/50] | Batch 120/509 | d_loss: 0.7713 | g_loss: 4.0320 2023-06-03 22:09:19 | Epoch [12/50] | Batch 125/509 | d_loss: 0.6785 | g_loss: 3.2848 2023-06-03 22:09:20 | Epoch [12/50] | Batch 130/509 | d_loss: 0.4806 | g_loss: 2.9740 2023-06-03 22:09:22 | Epoch [12/50] | Batch 135/509 | d_loss: 0.5402 | g_loss: 3.9831 2023-06-03 22:09:24 | Epoch [12/50] | Batch 140/509 | d_loss: 0.4821 | g_loss: 3.5285 2023-06-03 22:09:25 | Epoch [12/50] | Batch 145/509 | d_loss: 0.4927 | g_loss: 3.8819 2023-06-03 22:09:27 | Epoch [12/50] | Batch 150/509 | d_loss: 0.3649 | g_loss: 4.0229 2023-06-03 22:09:29 | Epoch [12/50] | Batch 155/509 | d_loss: 0.6179 | g_loss: 3.3860 2023-06-03 22:09:30 | Epoch [12/50] | Batch 160/509 | d_loss: 0.4135 | g_loss: 3.3083 2023-06-03 22:09:32 | Epoch [12/50] | Batch 165/509 | d_loss: 0.8845 | g_loss: 5.3771 2023-06-03 22:09:33 | Epoch [12/50] | Batch 170/509 | d_loss: 0.8300 | g_loss: 5.4688 2023-06-03 22:09:35 | Epoch [12/50] | Batch 175/509 | d_loss: 0.4955 | g_loss: 3.5928 2023-06-03 22:09:37 | Epoch [12/50] | Batch 180/509 | d_loss: 0.4771 | g_loss: 3.5546 2023-06-03 22:09:38 | Epoch [12/50] | Batch 185/509 | d_loss: 0.5095 | g_loss: 3.6152 2023-06-03 22:09:40 | Epoch [12/50] | Batch 190/509 | d_loss: 1.9481 | g_loss: 2.7965 2023-06-03 22:09:42 | Epoch [12/50] | Batch 195/509 | d_loss: 0.4848 | g_loss: 3.7267 2023-06-03 22:09:43 | Epoch [12/50] | Batch 200/509 | d_loss: 0.4882 | g_loss: 2.5939 2023-06-03 22:09:45 | Epoch [12/50] | Batch 205/509 | d_loss: 0.4263 | g_loss: 4.2667 2023-06-03 22:09:47 | Epoch [12/50] | Batch 210/509 | d_loss: 0.6020 | g_loss: 2.1575 2023-06-03 22:09:48 | Epoch [12/50] | Batch 215/509 | d_loss: 0.8072 | g_loss: 3.6556 2023-06-03 22:09:50 | Epoch [12/50] | Batch 220/509 | d_loss: 0.4359 | g_loss: 3.3761 2023-06-03 22:09:51 | Epoch [12/50] | Batch 225/509 | d_loss: 0.4275 | g_loss: 3.2339 2023-06-03 22:09:53 | Epoch [12/50] | Batch 230/509 | d_loss: 0.4562 | g_loss: 3.0910 2023-06-03 22:09:55 | Epoch [12/50] | Batch 235/509 | d_loss: 0.4399 | g_loss: 2.9676 2023-06-03 22:09:56 | Epoch [12/50] | Batch 240/509 | d_loss: 0.4023 | g_loss: 3.1050 2023-06-03 22:09:58 | Epoch [12/50] | Batch 245/509 | d_loss: 0.4404 | g_loss: 2.9811 2023-06-03 22:10:00 | Epoch [12/50] | Batch 250/509 | d_loss: 0.3835 | g_loss: 4.3389 2023-06-03 22:10:01 | Epoch [12/50] | Batch 255/509 | d_loss: 0.3776 | g_loss: 3.8670 2023-06-03 22:10:03 | Epoch [12/50] | Batch 260/509 | d_loss: 0.4137 | g_loss: 3.3503 2023-06-03 22:10:05 | Epoch [12/50] | Batch 265/509 | d_loss: 0.3748 | g_loss: 4.5878 2023-06-03 22:10:06 | Epoch [12/50] | Batch 270/509 | d_loss: 0.3868 | g_loss: 4.4835 2023-06-03 22:10:08 | Epoch [12/50] | Batch 275/509 | d_loss: 0.3587 | g_loss: 4.8315 2023-06-03 22:10:10 | Epoch [12/50] | Batch 280/509 | d_loss: 0.4252 | g_loss: 3.5256 2023-06-03 22:10:11 | Epoch [12/50] | Batch 285/509 | d_loss: 0.3570 | g_loss: 4.4735 2023-06-03 22:10:13 | Epoch [12/50] | Batch 290/509 | d_loss: 1.4085 | g_loss: 0.8605 2023-06-03 22:10:14 | Epoch [12/50] | Batch 295/509 | d_loss: 0.3725 | g_loss: 4.0841 2023-06-03 22:10:16 | Epoch [12/50] | Batch 300/509 | d_loss: 0.5514 | g_loss: 2.8231 2023-06-03 22:10:18 | Epoch [12/50] | Batch 305/509 | d_loss: 0.3664 | g_loss: 4.9091 2023-06-03 22:10:19 | Epoch [12/50] | Batch 310/509 | d_loss: 0.5557 | g_loss: 3.6673 2023-06-03 22:10:21 | Epoch [12/50] | Batch 315/509 | d_loss: 0.4927 | g_loss: 2.6379 2023-06-03 22:10:23 | Epoch [12/50] | Batch 320/509 | d_loss: 0.4861 | g_loss: 3.3411 2023-06-03 22:10:24 | Epoch [12/50] | Batch 325/509 | d_loss: 0.4408 | g_loss: 4.9766 2023-06-03 22:10:26 | Epoch [12/50] | Batch 330/509 | d_loss: 0.6208 | g_loss: 3.0856 2023-06-03 22:10:28 | Epoch [12/50] | Batch 335/509 | d_loss: 0.3919 | g_loss: 5.9331 2023-06-03 22:10:29 | Epoch [12/50] | Batch 340/509 | d_loss: 0.3978 | g_loss: 6.2806 2023-06-03 22:10:31 | Epoch [12/50] | Batch 345/509 | d_loss: 0.3659 | g_loss: 5.3434 2023-06-03 22:10:32 | Epoch [12/50] | Batch 350/509 | d_loss: 0.5027 | g_loss: 4.1050 2023-06-03 22:10:34 | Epoch [12/50] | Batch 355/509 | d_loss: 0.3798 | g_loss: 4.2828 2023-06-03 22:10:36 | Epoch [12/50] | Batch 360/509 | d_loss: 0.7237 | g_loss: 5.1453 2023-06-03 22:10:37 | Epoch [12/50] | Batch 365/509 | d_loss: 0.4520 | g_loss: 3.5332 2023-06-03 22:10:39 | Epoch [12/50] | Batch 370/509 | d_loss: 0.5220 | g_loss: 4.5858 2023-06-03 22:10:41 | Epoch [12/50] | Batch 375/509 | d_loss: 0.3729 | g_loss: 4.0596 2023-06-03 22:10:42 | Epoch [12/50] | Batch 380/509 | d_loss: 0.3999 | g_loss: 3.0930 2023-06-03 22:10:44 | Epoch [12/50] | Batch 385/509 | d_loss: 0.3893 | g_loss: 3.6639 2023-06-03 22:10:46 | Epoch [12/50] | Batch 390/509 | d_loss: 0.4819 | g_loss: 3.9944 2023-06-03 22:10:47 | Epoch [12/50] | Batch 395/509 | d_loss: 0.3788 | g_loss: 4.3598 2023-06-03 22:10:49 | Epoch [12/50] | Batch 400/509 | d_loss: 0.3583 | g_loss: 4.2590 2023-06-03 22:10:51 | Epoch [12/50] | Batch 405/509 | d_loss: 0.3917 | g_loss: 4.3254 2023-06-03 22:10:52 | Epoch [12/50] | Batch 410/509 | d_loss: 0.3761 | g_loss: 4.9073 2023-06-03 22:10:54 | Epoch [12/50] | Batch 415/509 | d_loss: 0.3741 | g_loss: 5.1033 2023-06-03 22:10:55 | Epoch [12/50] | Batch 420/509 | d_loss: 0.3681 | g_loss: 5.0976 2023-06-03 22:10:57 | Epoch [12/50] | Batch 425/509 | d_loss: 0.3811 | g_loss: 4.8957 2023-06-03 22:10:59 | Epoch [12/50] | Batch 430/509 | d_loss: 0.3946 | g_loss: 3.6886 2023-06-03 22:11:00 | Epoch [12/50] | Batch 435/509 | d_loss: 0.4331 | g_loss: 4.9324 2023-06-03 22:11:02 | Epoch [12/50] | Batch 440/509 | d_loss: 0.4315 | g_loss: 3.2677 2023-06-03 22:11:04 | Epoch [12/50] | Batch 445/509 | d_loss: 0.5381 | g_loss: 3.0859 2023-06-03 22:11:05 | Epoch [12/50] | Batch 450/509 | d_loss: 0.5870 | g_loss: 5.3465 2023-06-03 22:11:07 | Epoch [12/50] | Batch 455/509 | d_loss: 0.3604 | g_loss: 5.6359 2023-06-03 22:11:09 | Epoch [12/50] | Batch 460/509 | d_loss: 0.4737 | g_loss: 3.5335 2023-06-03 22:11:10 | Epoch [12/50] | Batch 465/509 | d_loss: 0.3611 | g_loss: 3.8582 2023-06-03 22:11:12 | Epoch [12/50] | Batch 470/509 | d_loss: 0.3548 | g_loss: 5.8095 2023-06-03 22:11:13 | Epoch [12/50] | Batch 475/509 | d_loss: 0.3656 | g_loss: 4.8733 2023-06-03 22:11:15 | Epoch [12/50] | Batch 480/509 | d_loss: 0.4543 | g_loss: 4.4143 2023-06-03 22:11:17 | Epoch [12/50] | Batch 485/509 | d_loss: 0.3832 | g_loss: 5.8357 2023-06-03 22:11:18 | Epoch [12/50] | Batch 490/509 | d_loss: 0.5160 | g_loss: 3.9731 2023-06-03 22:11:20 | Epoch [12/50] | Batch 495/509 | d_loss: 0.4524 | g_loss: 3.9636 2023-06-03 22:11:22 | Epoch [12/50] | Batch 500/509 | d_loss: 0.5774 | g_loss: 6.1407 2023-06-03 22:11:23 | Epoch [12/50] | Batch 505/509 | d_loss: 1.5556 | g_loss: 7.0028
2023-06-03 22:11:26 | Epoch [13/50] | Batch 0/509 | d_loss: 0.4961 | g_loss: 4.1978 2023-06-03 22:11:28 | Epoch [13/50] | Batch 5/509 | d_loss: 0.4643 | g_loss: 3.5525 2023-06-03 22:11:29 | Epoch [13/50] | Batch 10/509 | d_loss: 0.4508 | g_loss: 3.8280 2023-06-03 22:11:31 | Epoch [13/50] | Batch 15/509 | d_loss: 0.4077 | g_loss: 4.1446 2023-06-03 22:11:32 | Epoch [13/50] | Batch 20/509 | d_loss: 0.4833 | g_loss: 3.6254 2023-06-03 22:11:34 | Epoch [13/50] | Batch 25/509 | d_loss: 0.3699 | g_loss: 3.8595 2023-06-03 22:11:36 | Epoch [13/50] | Batch 30/509 | d_loss: 0.4378 | g_loss: 2.9336 2023-06-03 22:11:37 | Epoch [13/50] | Batch 35/509 | d_loss: 0.4123 | g_loss: 3.6858 2023-06-03 22:11:39 | Epoch [13/50] | Batch 40/509 | d_loss: 0.8067 | g_loss: 5.6567 2023-06-03 22:11:41 | Epoch [13/50] | Batch 45/509 | d_loss: 0.3930 | g_loss: 3.6053 2023-06-03 22:11:42 | Epoch [13/50] | Batch 50/509 | d_loss: 0.4561 | g_loss: 5.2851 2023-06-03 22:11:44 | Epoch [13/50] | Batch 55/509 | d_loss: 0.4140 | g_loss: 4.3259 2023-06-03 22:11:46 | Epoch [13/50] | Batch 60/509 | d_loss: 0.3742 | g_loss: 4.8835 2023-06-03 22:11:47 | Epoch [13/50] | Batch 65/509 | d_loss: 0.5018 | g_loss: 3.5048 2023-06-03 22:11:49 | Epoch [13/50] | Batch 70/509 | d_loss: 0.3597 | g_loss: 4.8651 2023-06-03 22:11:51 | Epoch [13/50] | Batch 75/509 | d_loss: 0.3830 | g_loss: 3.9070 2023-06-03 22:11:52 | Epoch [13/50] | Batch 80/509 | d_loss: 0.4289 | g_loss: 3.8376 2023-06-03 22:11:54 | Epoch [13/50] | Batch 85/509 | d_loss: 0.3506 | g_loss: 5.7658 2023-06-03 22:11:55 | Epoch [13/50] | Batch 90/509 | d_loss: 0.3675 | g_loss: 4.0074 2023-06-03 22:11:57 | Epoch [13/50] | Batch 95/509 | d_loss: 0.5023 | g_loss: 3.2617 2023-06-03 22:11:59 | Epoch [13/50] | Batch 100/509 | d_loss: 0.3782 | g_loss: 4.6246 2023-06-03 22:12:00 | Epoch [13/50] | Batch 105/509 | d_loss: 0.5341 | g_loss: 5.0974 2023-06-03 22:12:02 | Epoch [13/50] | Batch 110/509 | d_loss: 1.2321 | g_loss: 2.2368 2023-06-03 22:12:04 | Epoch [13/50] | Batch 115/509 | d_loss: 0.4630 | g_loss: 7.1109 2023-06-03 22:12:05 | Epoch [13/50] | Batch 120/509 | d_loss: 0.8773 | g_loss: 5.7711 2023-06-03 22:12:07 | Epoch [13/50] | Batch 125/509 | d_loss: 0.5109 | g_loss: 2.9169 2023-06-03 22:12:09 | Epoch [13/50] | Batch 130/509 | d_loss: 0.7694 | g_loss: 1.3213 2023-06-03 22:12:10 | Epoch [13/50] | Batch 135/509 | d_loss: 0.4644 | g_loss: 3.9172 2023-06-03 22:12:12 | Epoch [13/50] | Batch 140/509 | d_loss: 0.4033 | g_loss: 3.5405 2023-06-03 22:12:13 | Epoch [13/50] | Batch 145/509 | d_loss: 0.4016 | g_loss: 4.0369 2023-06-03 22:12:15 | Epoch [13/50] | Batch 150/509 | d_loss: 0.4218 | g_loss: 4.0584 2023-06-03 22:12:17 | Epoch [13/50] | Batch 155/509 | d_loss: 0.9218 | g_loss: 3.7961 2023-06-03 22:12:18 | Epoch [13/50] | Batch 160/509 | d_loss: 0.5611 | g_loss: 2.9914 2023-06-03 22:12:20 | Epoch [13/50] | Batch 165/509 | d_loss: 0.5372 | g_loss: 3.4366 2023-06-03 22:12:22 | Epoch [13/50] | Batch 170/509 | d_loss: 0.4574 | g_loss: 3.7034 2023-06-03 22:12:23 | Epoch [13/50] | Batch 175/509 | d_loss: 0.4573 | g_loss: 2.8163 2023-06-03 22:12:25 | Epoch [13/50] | Batch 180/509 | d_loss: 0.3977 | g_loss: 3.6317 2023-06-03 22:12:27 | Epoch [13/50] | Batch 185/509 | d_loss: 0.4778 | g_loss: 2.9247 2023-06-03 22:12:28 | Epoch [13/50] | Batch 190/509 | d_loss: 0.3557 | g_loss: 4.6690 2023-06-03 22:12:30 | Epoch [13/50] | Batch 195/509 | d_loss: 0.4049 | g_loss: 3.7473 2023-06-03 22:12:31 | Epoch [13/50] | Batch 200/509 | d_loss: 0.4777 | g_loss: 3.8182 2023-06-03 22:12:33 | Epoch [13/50] | Batch 205/509 | d_loss: 0.3860 | g_loss: 3.5521 2023-06-03 22:12:35 | Epoch [13/50] | Batch 210/509 | d_loss: 0.4509 | g_loss: 3.5192 2023-06-03 22:12:36 | Epoch [13/50] | Batch 215/509 | d_loss: 0.3603 | g_loss: 5.3469 2023-06-03 22:12:38 | Epoch [13/50] | Batch 220/509 | d_loss: 0.3758 | g_loss: 4.5897 2023-06-03 22:12:40 | Epoch [13/50] | Batch 225/509 | d_loss: 0.3609 | g_loss: 4.9301 2023-06-03 22:12:41 | Epoch [13/50] | Batch 230/509 | d_loss: 0.4169 | g_loss: 5.6734 2023-06-03 22:12:43 | Epoch [13/50] | Batch 235/509 | d_loss: 0.4780 | g_loss: 3.4426 2023-06-03 22:12:45 | Epoch [13/50] | Batch 240/509 | d_loss: 0.5385 | g_loss: 3.9032 2023-06-03 22:12:46 | Epoch [13/50] | Batch 245/509 | d_loss: 0.4675 | g_loss: 3.8338 2023-06-03 22:12:48 | Epoch [13/50] | Batch 250/509 | d_loss: 0.3988 | g_loss: 4.2316 2023-06-03 22:12:50 | Epoch [13/50] | Batch 255/509 | d_loss: 0.3760 | g_loss: 4.3194 2023-06-03 22:12:51 | Epoch [13/50] | Batch 260/509 | d_loss: 0.4322 | g_loss: 4.3969 2023-06-03 22:12:53 | Epoch [13/50] | Batch 265/509 | d_loss: 0.5057 | g_loss: 5.7595 2023-06-03 22:12:54 | Epoch [13/50] | Batch 270/509 | d_loss: 0.3804 | g_loss: 3.4573 2023-06-03 22:12:56 | Epoch [13/50] | Batch 275/509 | d_loss: 0.3617 | g_loss: 5.7079 2023-06-03 22:12:58 | Epoch [13/50] | Batch 280/509 | d_loss: 0.3904 | g_loss: 3.6172 2023-06-03 22:12:59 | Epoch [13/50] | Batch 285/509 | d_loss: 0.3590 | g_loss: 5.6556 2023-06-03 22:13:01 | Epoch [13/50] | Batch 290/509 | d_loss: 0.3514 | g_loss: 5.4086 2023-06-03 22:13:03 | Epoch [13/50] | Batch 295/509 | d_loss: 0.3854 | g_loss: 3.7987 2023-06-03 22:13:04 | Epoch [13/50] | Batch 300/509 | d_loss: 0.3602 | g_loss: 4.9308 2023-06-03 22:13:06 | Epoch [13/50] | Batch 305/509 | d_loss: 0.3542 | g_loss: 5.4777 2023-06-03 22:13:07 | Epoch [13/50] | Batch 310/509 | d_loss: 0.3716 | g_loss: 4.6075 2023-06-03 22:13:09 | Epoch [13/50] | Batch 315/509 | d_loss: 0.3537 | g_loss: 4.4164 2023-06-03 22:13:11 | Epoch [13/50] | Batch 320/509 | d_loss: 0.6285 | g_loss: 6.5598 2023-06-03 22:13:12 | Epoch [13/50] | Batch 325/509 | d_loss: 0.3782 | g_loss: 4.3720 2023-06-03 22:13:14 | Epoch [13/50] | Batch 330/509 | d_loss: 0.3854 | g_loss: 4.7295 2023-06-03 22:13:16 | Epoch [13/50] | Batch 335/509 | d_loss: 0.3540 | g_loss: 5.5666 2023-06-03 22:13:17 | Epoch [13/50] | Batch 340/509 | d_loss: 0.3641 | g_loss: 4.5711 2023-06-03 22:13:19 | Epoch [13/50] | Batch 345/509 | d_loss: 0.3550 | g_loss: 4.5802 2023-06-03 22:13:21 | Epoch [13/50] | Batch 350/509 | d_loss: 0.9309 | g_loss: 5.3767 2023-06-03 22:13:22 | Epoch [13/50] | Batch 355/509 | d_loss: 1.0743 | g_loss: 2.0050 2023-06-03 22:13:24 | Epoch [13/50] | Batch 360/509 | d_loss: 0.5753 | g_loss: 6.7787 2023-06-03 22:13:25 | Epoch [13/50] | Batch 365/509 | d_loss: 0.5111 | g_loss: 3.3020 2023-06-03 22:13:27 | Epoch [13/50] | Batch 370/509 | d_loss: 0.4976 | g_loss: 3.3391 2023-06-03 22:13:29 | Epoch [13/50] | Batch 375/509 | d_loss: 0.3853 | g_loss: 3.9642 2023-06-03 22:13:30 | Epoch [13/50] | Batch 380/509 | d_loss: 0.4398 | g_loss: 3.6407 2023-06-03 22:13:32 | Epoch [13/50] | Batch 385/509 | d_loss: 0.4013 | g_loss: 4.5498 2023-06-03 22:13:34 | Epoch [13/50] | Batch 390/509 | d_loss: 0.3757 | g_loss: 4.6477 2023-06-03 22:13:35 | Epoch [13/50] | Batch 395/509 | d_loss: 0.4229 | g_loss: 2.9141 2023-06-03 22:13:37 | Epoch [13/50] | Batch 400/509 | d_loss: 0.3634 | g_loss: 4.7723 2023-06-03 22:13:39 | Epoch [13/50] | Batch 405/509 | d_loss: 0.3549 | g_loss: 4.3461 2023-06-03 22:13:40 | Epoch [13/50] | Batch 410/509 | d_loss: 0.3747 | g_loss: 4.5478 2023-06-03 22:13:42 | Epoch [13/50] | Batch 415/509 | d_loss: 0.3568 | g_loss: 5.5780 2023-06-03 22:13:43 | Epoch [13/50] | Batch 420/509 | d_loss: 0.3906 | g_loss: 3.8133 2023-06-03 22:13:45 | Epoch [13/50] | Batch 425/509 | d_loss: 0.4287 | g_loss: 4.2673 2023-06-03 22:13:47 | Epoch [13/50] | Batch 430/509 | d_loss: 0.4257 | g_loss: 3.7958 2023-06-03 22:13:48 | Epoch [13/50] | Batch 435/509 | d_loss: 0.3601 | g_loss: 5.0707 2023-06-03 22:13:50 | Epoch [13/50] | Batch 440/509 | d_loss: 0.8178 | g_loss: 7.9436 2023-06-03 22:13:52 | Epoch [13/50] | Batch 445/509 | d_loss: 2.9240 | g_loss: 7.7520 2023-06-03 22:13:53 | Epoch [13/50] | Batch 450/509 | d_loss: 0.7571 | g_loss: 3.2251 2023-06-03 22:13:55 | Epoch [13/50] | Batch 455/509 | d_loss: 1.9811 | g_loss: 1.3584 2023-06-03 22:13:57 | Epoch [13/50] | Batch 460/509 | d_loss: 0.5069 | g_loss: 4.4240 2023-06-03 22:13:58 | Epoch [13/50] | Batch 465/509 | d_loss: 1.1282 | g_loss: 7.2994 2023-06-03 22:14:00 | Epoch [13/50] | Batch 470/509 | d_loss: 0.4408 | g_loss: 3.5514 2023-06-03 22:14:01 | Epoch [13/50] | Batch 475/509 | d_loss: 0.5951 | g_loss: 4.3415 2023-06-03 22:14:03 | Epoch [13/50] | Batch 480/509 | d_loss: 0.4020 | g_loss: 3.6697 2023-06-03 22:14:05 | Epoch [13/50] | Batch 485/509 | d_loss: 0.5670 | g_loss: 1.9850 2023-06-03 22:14:06 | Epoch [13/50] | Batch 490/509 | d_loss: 0.4697 | g_loss: 5.3870 2023-06-03 22:14:08 | Epoch [13/50] | Batch 495/509 | d_loss: 0.4693 | g_loss: 3.5453 2023-06-03 22:14:10 | Epoch [13/50] | Batch 500/509 | d_loss: 0.4120 | g_loss: 4.2181 2023-06-03 22:14:11 | Epoch [13/50] | Batch 505/509 | d_loss: 0.4259 | g_loss: 3.8734
2023-06-03 22:14:14 | Epoch [14/50] | Batch 0/509 | d_loss: 0.4493 | g_loss: 2.9203 2023-06-03 22:14:15 | Epoch [14/50] | Batch 5/509 | d_loss: 0.4219 | g_loss: 4.9761 2023-06-03 22:14:17 | Epoch [14/50] | Batch 10/509 | d_loss: 0.3915 | g_loss: 6.3802 2023-06-03 22:14:19 | Epoch [14/50] | Batch 15/509 | d_loss: 0.3924 | g_loss: 3.7703 2023-06-03 22:14:20 | Epoch [14/50] | Batch 20/509 | d_loss: 0.6410 | g_loss: 3.9519 2023-06-03 22:14:22 | Epoch [14/50] | Batch 25/509 | d_loss: 0.6801 | g_loss: 4.9864 2023-06-03 22:14:24 | Epoch [14/50] | Batch 30/509 | d_loss: 0.7619 | g_loss: 3.6714 2023-06-03 22:14:25 | Epoch [14/50] | Batch 35/509 | d_loss: 0.3779 | g_loss: 4.7433 2023-06-03 22:14:27 | Epoch [14/50] | Batch 40/509 | d_loss: 0.4814 | g_loss: 4.2817 2023-06-03 22:14:28 | Epoch [14/50] | Batch 45/509 | d_loss: 0.5278 | g_loss: 3.8579 2023-06-03 22:14:30 | Epoch [14/50] | Batch 50/509 | d_loss: 0.4675 | g_loss: 2.9672 2023-06-03 22:14:32 | Epoch [14/50] | Batch 55/509 | d_loss: 0.4494 | g_loss: 3.5808 2023-06-03 22:14:33 | Epoch [14/50] | Batch 60/509 | d_loss: 0.3605 | g_loss: 4.2551 2023-06-03 22:14:35 | Epoch [14/50] | Batch 65/509 | d_loss: 0.3912 | g_loss: 3.3394 2023-06-03 22:14:37 | Epoch [14/50] | Batch 70/509 | d_loss: 0.5285 | g_loss: 2.8214 2023-06-03 22:14:38 | Epoch [14/50] | Batch 75/509 | d_loss: 0.4095 | g_loss: 4.8877 2023-06-03 22:14:40 | Epoch [14/50] | Batch 80/509 | d_loss: 0.4537 | g_loss: 4.5623 2023-06-03 22:14:42 | Epoch [14/50] | Batch 85/509 | d_loss: 0.3568 | g_loss: 5.0407 2023-06-03 22:14:43 | Epoch [14/50] | Batch 90/509 | d_loss: 0.4352 | g_loss: 3.3923 2023-06-03 22:14:45 | Epoch [14/50] | Batch 95/509 | d_loss: 0.4130 | g_loss: 2.6858 2023-06-03 22:14:46 | Epoch [14/50] | Batch 100/509 | d_loss: 0.5253 | g_loss: 4.5937 2023-06-03 22:14:48 | Epoch [14/50] | Batch 105/509 | d_loss: 0.5271 | g_loss: 4.4774 2023-06-03 22:14:50 | Epoch [14/50] | Batch 110/509 | d_loss: 0.3663 | g_loss: 5.0212 2023-06-03 22:14:51 | Epoch [14/50] | Batch 115/509 | d_loss: 0.5358 | g_loss: 4.3333 2023-06-03 22:14:53 | Epoch [14/50] | Batch 120/509 | d_loss: 0.3730 | g_loss: 3.3242 2023-06-03 22:14:55 | Epoch [14/50] | Batch 125/509 | d_loss: 0.4252 | g_loss: 4.5071 2023-06-03 22:14:56 | Epoch [14/50] | Batch 130/509 | d_loss: 0.4611 | g_loss: 4.2686 2023-06-03 22:14:58 | Epoch [14/50] | Batch 135/509 | d_loss: 0.3544 | g_loss: 4.8469 2023-06-03 22:15:00 | Epoch [14/50] | Batch 140/509 | d_loss: 0.4734 | g_loss: 4.6419 2023-06-03 22:15:01 | Epoch [14/50] | Batch 145/509 | d_loss: 0.3761 | g_loss: 3.6766 2023-06-03 22:15:03 | Epoch [14/50] | Batch 150/509 | d_loss: 0.4907 | g_loss: 4.4217 2023-06-03 22:15:04 | Epoch [14/50] | Batch 155/509 | d_loss: 0.3593 | g_loss: 5.8670 2023-06-03 22:15:06 | Epoch [14/50] | Batch 160/509 | d_loss: 0.3946 | g_loss: 3.9068 2023-06-03 22:15:08 | Epoch [14/50] | Batch 165/509 | d_loss: 0.4132 | g_loss: 3.2773 2023-06-03 22:15:09 | Epoch [14/50] | Batch 170/509 | d_loss: 0.3469 | g_loss: 5.1762 2023-06-03 22:15:11 | Epoch [14/50] | Batch 175/509 | d_loss: 0.4245 | g_loss: 4.5714 2023-06-03 22:15:13 | Epoch [14/50] | Batch 180/509 | d_loss: 0.7207 | g_loss: 5.5865 2023-06-03 22:15:14 | Epoch [14/50] | Batch 185/509 | d_loss: 0.4437 | g_loss: 5.8101 2023-06-03 22:15:16 | Epoch [14/50] | Batch 190/509 | d_loss: 0.4240 | g_loss: 3.4490 2023-06-03 22:15:18 | Epoch [14/50] | Batch 195/509 | d_loss: 0.4340 | g_loss: 3.3412 2023-06-03 22:15:19 | Epoch [14/50] | Batch 200/509 | d_loss: 0.3571 | g_loss: 6.3830 2023-06-03 22:15:21 | Epoch [14/50] | Batch 205/509 | d_loss: 0.3757 | g_loss: 3.9838 2023-06-03 22:15:22 | Epoch [14/50] | Batch 210/509 | d_loss: 0.4294 | g_loss: 3.8853 2023-06-03 22:15:24 | Epoch [14/50] | Batch 215/509 | d_loss: 0.3807 | g_loss: 3.6855 2023-06-03 22:15:26 | Epoch [14/50] | Batch 220/509 | d_loss: 0.4545 | g_loss: 7.2668 2023-06-03 22:15:27 | Epoch [14/50] | Batch 225/509 | d_loss: 0.5015 | g_loss: 2.8421 2023-06-03 22:15:29 | Epoch [14/50] | Batch 230/509 | d_loss: 0.3909 | g_loss: 4.6781 2023-06-03 22:15:31 | Epoch [14/50] | Batch 235/509 | d_loss: 0.3785 | g_loss: 4.2343 2023-06-03 22:15:32 | Epoch [14/50] | Batch 240/509 | d_loss: 0.4054 | g_loss: 2.7357 2023-06-03 22:15:34 | Epoch [14/50] | Batch 245/509 | d_loss: 0.3792 | g_loss: 4.5314 2023-06-03 22:15:36 | Epoch [14/50] | Batch 250/509 | d_loss: 0.4279 | g_loss: 5.7848 2023-06-03 22:15:37 | Epoch [14/50] | Batch 255/509 | d_loss: 0.3818 | g_loss: 4.2866 2023-06-03 22:15:39 | Epoch [14/50] | Batch 260/509 | d_loss: 0.4357 | g_loss: 4.1747 2023-06-03 22:15:41 | Epoch [14/50] | Batch 265/509 | d_loss: 0.3859 | g_loss: 3.9452 2023-06-03 22:15:42 | Epoch [14/50] | Batch 270/509 | d_loss: 0.4499 | g_loss: 4.6532 2023-06-03 22:15:44 | Epoch [14/50] | Batch 275/509 | d_loss: 0.3916 | g_loss: 6.1414 2023-06-03 22:15:45 | Epoch [14/50] | Batch 280/509 | d_loss: 0.6983 | g_loss: 4.1243 2023-06-03 22:15:47 | Epoch [14/50] | Batch 285/509 | d_loss: 0.6810 | g_loss: 4.7547 2023-06-03 22:15:49 | Epoch [14/50] | Batch 290/509 | d_loss: 0.3867 | g_loss: 4.3115 2023-06-03 22:15:50 | Epoch [14/50] | Batch 295/509 | d_loss: 0.3603 | g_loss: 4.9669 2023-06-03 22:15:52 | Epoch [14/50] | Batch 300/509 | d_loss: 0.3999 | g_loss: 4.6182 2023-06-03 22:15:54 | Epoch [14/50] | Batch 305/509 | d_loss: 0.3720 | g_loss: 3.6273 2023-06-03 22:15:55 | Epoch [14/50] | Batch 310/509 | d_loss: 0.3794 | g_loss: 3.4410 2023-06-03 22:15:57 | Epoch [14/50] | Batch 315/509 | d_loss: 0.6313 | g_loss: 2.9593 2023-06-03 22:15:59 | Epoch [14/50] | Batch 320/509 | d_loss: 0.4598 | g_loss: 3.9268 2023-06-03 22:16:00 | Epoch [14/50] | Batch 325/509 | d_loss: 0.4502 | g_loss: 4.4101 2023-06-03 22:16:02 | Epoch [14/50] | Batch 330/509 | d_loss: 0.5873 | g_loss: 5.8099 2023-06-03 22:16:03 | Epoch [14/50] | Batch 335/509 | d_loss: 0.3437 | g_loss: 5.3936 2023-06-03 22:16:05 | Epoch [14/50] | Batch 340/509 | d_loss: 0.4488 | g_loss: 3.8722 2023-06-03 22:16:07 | Epoch [14/50] | Batch 345/509 | d_loss: 0.5019 | g_loss: 5.1761 2023-06-03 22:16:08 | Epoch [14/50] | Batch 350/509 | d_loss: 0.3781 | g_loss: 3.8201 2023-06-03 22:16:10 | Epoch [14/50] | Batch 355/509 | d_loss: 0.4637 | g_loss: 4.0364 2023-06-03 22:16:12 | Epoch [14/50] | Batch 360/509 | d_loss: 0.4338 | g_loss: 4.1279 2023-06-03 22:16:13 | Epoch [14/50] | Batch 365/509 | d_loss: 0.3499 | g_loss: 5.1570 2023-06-03 22:16:15 | Epoch [14/50] | Batch 370/509 | d_loss: 0.3769 | g_loss: 3.9970 2023-06-03 22:16:17 | Epoch [14/50] | Batch 375/509 | d_loss: 0.4132 | g_loss: 4.1842 2023-06-03 22:16:18 | Epoch [14/50] | Batch 380/509 | d_loss: 0.4179 | g_loss: 4.8665 2023-06-03 22:16:20 | Epoch [14/50] | Batch 385/509 | d_loss: 0.4586 | g_loss: 5.9952 2023-06-03 22:16:21 | Epoch [14/50] | Batch 390/509 | d_loss: 0.5293 | g_loss: 4.9003 2023-06-03 22:16:23 | Epoch [14/50] | Batch 395/509 | d_loss: 0.4510 | g_loss: 4.7900 2023-06-03 22:16:25 | Epoch [14/50] | Batch 400/509 | d_loss: 0.3820 | g_loss: 6.4186 2023-06-03 22:16:26 | Epoch [14/50] | Batch 405/509 | d_loss: 0.3967 | g_loss: 4.0490 2023-06-03 22:16:28 | Epoch [14/50] | Batch 410/509 | d_loss: 0.5627 | g_loss: 5.6912 2023-06-03 22:16:30 | Epoch [14/50] | Batch 415/509 | d_loss: 0.3535 | g_loss: 5.1581 2023-06-03 22:16:31 | Epoch [14/50] | Batch 420/509 | d_loss: 0.3563 | g_loss: 4.3344 2023-06-03 22:16:33 | Epoch [14/50] | Batch 425/509 | d_loss: 0.3734 | g_loss: 5.2060 2023-06-03 22:16:35 | Epoch [14/50] | Batch 430/509 | d_loss: 0.3878 | g_loss: 3.7290 2023-06-03 22:16:36 | Epoch [14/50] | Batch 435/509 | d_loss: 0.3471 | g_loss: 7.2432 2023-06-03 22:16:38 | Epoch [14/50] | Batch 440/509 | d_loss: 0.4364 | g_loss: 4.4703 2023-06-03 22:16:39 | Epoch [14/50] | Batch 445/509 | d_loss: 0.3966 | g_loss: 4.1126 2023-06-03 22:16:41 | Epoch [14/50] | Batch 450/509 | d_loss: 0.3848 | g_loss: 3.8441 2023-06-03 22:16:43 | Epoch [14/50] | Batch 455/509 | d_loss: 0.4908 | g_loss: 5.5855 2023-06-03 22:16:44 | Epoch [14/50] | Batch 460/509 | d_loss: 0.4581 | g_loss: 4.5138 2023-06-03 22:16:46 | Epoch [14/50] | Batch 465/509 | d_loss: 0.3564 | g_loss: 4.9767 2023-06-03 22:16:48 | Epoch [14/50] | Batch 470/509 | d_loss: 0.3652 | g_loss: 3.9795 2023-06-03 22:16:49 | Epoch [14/50] | Batch 475/509 | d_loss: 0.3495 | g_loss: 7.8206 2023-06-03 22:16:51 | Epoch [14/50] | Batch 480/509 | d_loss: 0.4165 | g_loss: 3.2984 2023-06-03 22:16:53 | Epoch [14/50] | Batch 485/509 | d_loss: 0.3788 | g_loss: 6.7458 2023-06-03 22:16:54 | Epoch [14/50] | Batch 490/509 | d_loss: 0.4380 | g_loss: 3.3667 2023-06-03 22:16:56 | Epoch [14/50] | Batch 495/509 | d_loss: 2.4069 | g_loss: 9.5882 2023-06-03 22:16:57 | Epoch [14/50] | Batch 500/509 | d_loss: 0.7013 | g_loss: 3.6215 2023-06-03 22:16:59 | Epoch [14/50] | Batch 505/509 | d_loss: 1.0007 | g_loss: 1.9380
2023-06-03 22:17:02 | Epoch [15/50] | Batch 0/509 | d_loss: 0.4904 | g_loss: 4.6255 2023-06-03 22:17:03 | Epoch [15/50] | Batch 5/509 | d_loss: 0.7230 | g_loss: 4.3205 2023-06-03 22:17:05 | Epoch [15/50] | Batch 10/509 | d_loss: 0.9775 | g_loss: 4.4742 2023-06-03 22:17:07 | Epoch [15/50] | Batch 15/509 | d_loss: 0.4729 | g_loss: 2.5992 2023-06-03 22:17:08 | Epoch [15/50] | Batch 20/509 | d_loss: 0.5259 | g_loss: 4.0266 2023-06-03 22:17:10 | Epoch [15/50] | Batch 25/509 | d_loss: 0.6251 | g_loss: 4.3853 2023-06-03 22:17:12 | Epoch [15/50] | Batch 30/509 | d_loss: 0.6042 | g_loss: 2.7449 2023-06-03 22:17:13 | Epoch [15/50] | Batch 35/509 | d_loss: 0.5087 | g_loss: 2.8710 2023-06-03 22:17:15 | Epoch [15/50] | Batch 40/509 | d_loss: 0.5589 | g_loss: 2.5429 2023-06-03 22:17:16 | Epoch [15/50] | Batch 45/509 | d_loss: 0.4802 | g_loss: 2.8788 2023-06-03 22:17:18 | Epoch [15/50] | Batch 50/509 | d_loss: 0.4526 | g_loss: 3.5417 2023-06-03 22:17:20 | Epoch [15/50] | Batch 55/509 | d_loss: 0.5950 | g_loss: 1.8443 2023-06-03 22:17:21 | Epoch [15/50] | Batch 60/509 | d_loss: 0.9288 | g_loss: 3.9484 2023-06-03 22:17:23 | Epoch [15/50] | Batch 65/509 | d_loss: 0.5748 | g_loss: 3.4360 2023-06-03 22:17:25 | Epoch [15/50] | Batch 70/509 | d_loss: 0.5156 | g_loss: 3.6627 2023-06-03 22:17:26 | Epoch [15/50] | Batch 75/509 | d_loss: 0.4506 | g_loss: 3.7473 2023-06-03 22:17:28 | Epoch [15/50] | Batch 80/509 | d_loss: 0.4662 | g_loss: 3.2605 2023-06-03 22:17:30 | Epoch [15/50] | Batch 85/509 | d_loss: 0.3923 | g_loss: 4.2962 2023-06-03 22:17:31 | Epoch [15/50] | Batch 90/509 | d_loss: 0.5463 | g_loss: 4.6877 2023-06-03 22:17:33 | Epoch [15/50] | Batch 95/509 | d_loss: 0.9196 | g_loss: 6.1457 2023-06-03 22:17:34 | Epoch [15/50] | Batch 100/509 | d_loss: 0.5300 | g_loss: 2.2921 2023-06-03 22:17:36 | Epoch [15/50] | Batch 105/509 | d_loss: 0.5933 | g_loss: 2.2137 2023-06-03 22:17:38 | Epoch [15/50] | Batch 110/509 | d_loss: 0.4046 | g_loss: 4.4382 2023-06-03 22:17:39 | Epoch [15/50] | Batch 115/509 | d_loss: 0.4608 | g_loss: 3.1190 2023-06-03 22:17:41 | Epoch [15/50] | Batch 120/509 | d_loss: 0.4385 | g_loss: 3.0312 2023-06-03 22:17:43 | Epoch [15/50] | Batch 125/509 | d_loss: 0.5016 | g_loss: 3.5407 2023-06-03 22:17:44 | Epoch [15/50] | Batch 130/509 | d_loss: 2.0085 | g_loss: 1.0473 2023-06-03 22:17:46 | Epoch [15/50] | Batch 135/509 | d_loss: 0.4761 | g_loss: 3.4407 2023-06-03 22:17:48 | Epoch [15/50] | Batch 140/509 | d_loss: 0.4961 | g_loss: 3.5648 2023-06-03 22:17:49 | Epoch [15/50] | Batch 145/509 | d_loss: 0.4934 | g_loss: 3.9559 2023-06-03 22:17:51 | Epoch [15/50] | Batch 150/509 | d_loss: 0.3925 | g_loss: 4.1523 2023-06-03 22:17:53 | Epoch [15/50] | Batch 155/509 | d_loss: 0.5301 | g_loss: 2.2326 2023-06-03 22:17:54 | Epoch [15/50] | Batch 160/509 | d_loss: 0.5164 | g_loss: 4.8299 2023-06-03 22:17:56 | Epoch [15/50] | Batch 165/509 | d_loss: 0.3862 | g_loss: 3.3208 2023-06-03 22:17:57 | Epoch [15/50] | Batch 170/509 | d_loss: 0.4070 | g_loss: 4.2045 2023-06-03 22:17:59 | Epoch [15/50] | Batch 175/509 | d_loss: 0.8801 | g_loss: 5.8037 2023-06-03 22:18:01 | Epoch [15/50] | Batch 180/509 | d_loss: 0.5610 | g_loss: 2.9951 2023-06-03 22:18:02 | Epoch [15/50] | Batch 185/509 | d_loss: 0.5168 | g_loss: 2.5959 2023-06-03 22:18:04 | Epoch [15/50] | Batch 190/509 | d_loss: 0.5543 | g_loss: 4.4340 2023-06-03 22:18:06 | Epoch [15/50] | Batch 195/509 | d_loss: 0.5136 | g_loss: 4.3365 2023-06-03 22:18:07 | Epoch [15/50] | Batch 200/509 | d_loss: 0.4095 | g_loss: 3.9731 2023-06-03 22:18:09 | Epoch [15/50] | Batch 205/509 | d_loss: 0.3630 | g_loss: 4.7147 2023-06-03 22:18:11 | Epoch [15/50] | Batch 210/509 | d_loss: 0.5039 | g_loss: 2.9061 2023-06-03 22:18:12 | Epoch [15/50] | Batch 215/509 | d_loss: 0.6118 | g_loss: 4.4274 2023-06-03 22:18:14 | Epoch [15/50] | Batch 220/509 | d_loss: 0.3948 | g_loss: 5.3617 2023-06-03 22:18:15 | Epoch [15/50] | Batch 225/509 | d_loss: 0.4190 | g_loss: 3.8428 2023-06-03 22:18:17 | Epoch [15/50] | Batch 230/509 | d_loss: 0.3979 | g_loss: 3.0454 2023-06-03 22:18:19 | Epoch [15/50] | Batch 235/509 | d_loss: 2.0253 | g_loss: 2.5551 2023-06-03 22:18:20 | Epoch [15/50] | Batch 240/509 | d_loss: 0.4042 | g_loss: 6.6300 2023-06-03 22:18:22 | Epoch [15/50] | Batch 245/509 | d_loss: 0.4044 | g_loss: 3.2187 2023-06-03 22:18:24 | Epoch [15/50] | Batch 250/509 | d_loss: 0.5148 | g_loss: 3.8223 2023-06-03 22:18:25 | Epoch [15/50] | Batch 255/509 | d_loss: 0.5285 | g_loss: 3.7841 2023-06-03 22:18:27 | Epoch [15/50] | Batch 260/509 | d_loss: 0.3933 | g_loss: 3.4242 2023-06-03 22:18:29 | Epoch [15/50] | Batch 265/509 | d_loss: 0.4938 | g_loss: 4.5487 2023-06-03 22:18:30 | Epoch [15/50] | Batch 270/509 | d_loss: 0.4282 | g_loss: 4.9558 2023-06-03 22:18:32 | Epoch [15/50] | Batch 275/509 | d_loss: 0.3656 | g_loss: 4.1238 2023-06-03 22:18:33 | Epoch [15/50] | Batch 280/509 | d_loss: 0.3794 | g_loss: 4.1176 2023-06-03 22:18:35 | Epoch [15/50] | Batch 285/509 | d_loss: 0.3682 | g_loss: 3.8036 2023-06-03 22:18:37 | Epoch [15/50] | Batch 290/509 | d_loss: 0.6175 | g_loss: 2.9486 2023-06-03 22:18:38 | Epoch [15/50] | Batch 295/509 | d_loss: 0.4420 | g_loss: 3.3308 2023-06-03 22:18:40 | Epoch [15/50] | Batch 300/509 | d_loss: 0.3765 | g_loss: 4.5913 2023-06-03 22:18:42 | Epoch [15/50] | Batch 305/509 | d_loss: 0.3844 | g_loss: 5.0036 2023-06-03 22:18:43 | Epoch [15/50] | Batch 310/509 | d_loss: 0.4752 | g_loss: 3.5632 2023-06-03 22:18:45 | Epoch [15/50] | Batch 315/509 | d_loss: 0.4501 | g_loss: 3.3885 2023-06-03 22:18:47 | Epoch [15/50] | Batch 320/509 | d_loss: 0.3644 | g_loss: 4.1781 2023-06-03 22:18:48 | Epoch [15/50] | Batch 325/509 | d_loss: 0.3999 | g_loss: 3.8681 2023-06-03 22:18:50 | Epoch [15/50] | Batch 330/509 | d_loss: 0.3506 | g_loss: 5.8100 2023-06-03 22:18:52 | Epoch [15/50] | Batch 335/509 | d_loss: 0.3983 | g_loss: 3.1242 2023-06-03 22:18:53 | Epoch [15/50] | Batch 340/509 | d_loss: 0.3901 | g_loss: 4.2931 2023-06-03 22:18:55 | Epoch [15/50] | Batch 345/509 | d_loss: 0.3662 | g_loss: 4.9155 2023-06-03 22:18:56 | Epoch [15/50] | Batch 350/509 | d_loss: 0.6272 | g_loss: 6.5029 2023-06-03 22:18:58 | Epoch [15/50] | Batch 355/509 | d_loss: 1.5089 | g_loss: 7.0059 2023-06-03 22:19:00 | Epoch [15/50] | Batch 360/509 | d_loss: 0.4412 | g_loss: 3.8276 2023-06-03 22:19:01 | Epoch [15/50] | Batch 365/509 | d_loss: 0.4068 | g_loss: 3.6737 2023-06-03 22:19:03 | Epoch [15/50] | Batch 370/509 | d_loss: 0.3925 | g_loss: 3.7114 2023-06-03 22:19:05 | Epoch [15/50] | Batch 375/509 | d_loss: 0.3623 | g_loss: 4.7464 2023-06-03 22:19:06 | Epoch [15/50] | Batch 380/509 | d_loss: 0.4020 | g_loss: 3.2012 2023-06-03 22:19:08 | Epoch [15/50] | Batch 385/509 | d_loss: 0.3944 | g_loss: 5.1474 2023-06-03 22:19:10 | Epoch [15/50] | Batch 390/509 | d_loss: 0.4642 | g_loss: 3.3454 2023-06-03 22:19:11 | Epoch [15/50] | Batch 395/509 | d_loss: 0.3909 | g_loss: 3.4724 2023-06-03 22:19:13 | Epoch [15/50] | Batch 400/509 | d_loss: 0.4338 | g_loss: 3.3361 2023-06-03 22:19:14 | Epoch [15/50] | Batch 405/509 | d_loss: 0.4790 | g_loss: 3.1295 2023-06-03 22:19:16 | Epoch [15/50] | Batch 410/509 | d_loss: 0.4914 | g_loss: 4.8119 2023-06-03 22:19:18 | Epoch [15/50] | Batch 415/509 | d_loss: 2.6432 | g_loss: 1.9597 2023-06-03 22:19:19 | Epoch [15/50] | Batch 420/509 | d_loss: 0.5257 | g_loss: 4.5162 2023-06-03 22:19:21 | Epoch [15/50] | Batch 425/509 | d_loss: 0.9071 | g_loss: 5.5436 2023-06-03 22:19:23 | Epoch [15/50] | Batch 430/509 | d_loss: 2.5873 | g_loss: 8.4046 2023-06-03 22:19:24 | Epoch [15/50] | Batch 435/509 | d_loss: 0.4936 | g_loss: 2.8127 2023-06-03 22:19:26 | Epoch [15/50] | Batch 440/509 | d_loss: 0.5495 | g_loss: 1.8819 2023-06-03 22:19:28 | Epoch [15/50] | Batch 445/509 | d_loss: 0.5109 | g_loss: 3.8651 2023-06-03 22:19:29 | Epoch [15/50] | Batch 450/509 | d_loss: 0.4182 | g_loss: 3.8807 2023-06-03 22:19:31 | Epoch [15/50] | Batch 455/509 | d_loss: 0.4626 | g_loss: 3.1584 2023-06-03 22:19:32 | Epoch [15/50] | Batch 460/509 | d_loss: 0.5036 | g_loss: 3.4745 2023-06-03 22:19:34 | Epoch [15/50] | Batch 465/509 | d_loss: 0.3858 | g_loss: 3.1327 2023-06-03 22:19:36 | Epoch [15/50] | Batch 470/509 | d_loss: 0.4263 | g_loss: 4.0322 2023-06-03 22:19:37 | Epoch [15/50] | Batch 475/509 | d_loss: 0.4498 | g_loss: 3.4806 2023-06-03 22:19:39 | Epoch [15/50] | Batch 480/509 | d_loss: 0.3849 | g_loss: 3.5002 2023-06-03 22:19:41 | Epoch [15/50] | Batch 485/509 | d_loss: 0.8322 | g_loss: 2.6618 2023-06-03 22:19:42 | Epoch [15/50] | Batch 490/509 | d_loss: 0.4581 | g_loss: 3.8593 2023-06-03 22:19:44 | Epoch [15/50] | Batch 495/509 | d_loss: 0.4288 | g_loss: 3.1896 2023-06-03 22:19:46 | Epoch [15/50] | Batch 500/509 | d_loss: 0.4106 | g_loss: 3.1941 2023-06-03 22:19:47 | Epoch [15/50] | Batch 505/509 | d_loss: 0.4677 | g_loss: 3.5376
2023-06-03 22:19:50 | Epoch [16/50] | Batch 0/509 | d_loss: 0.3816 | g_loss: 4.3664 2023-06-03 22:19:51 | Epoch [16/50] | Batch 5/509 | d_loss: 0.5258 | g_loss: 3.6139 2023-06-03 22:19:53 | Epoch [16/50] | Batch 10/509 | d_loss: 0.4107 | g_loss: 4.4026 2023-06-03 22:19:55 | Epoch [16/50] | Batch 15/509 | d_loss: 0.5090 | g_loss: 2.1713 2023-06-03 22:19:56 | Epoch [16/50] | Batch 20/509 | d_loss: 0.3953 | g_loss: 3.9351 2023-06-03 22:19:58 | Epoch [16/50] | Batch 25/509 | d_loss: 0.3960 | g_loss: 4.2549 2023-06-03 22:20:00 | Epoch [16/50] | Batch 30/509 | d_loss: 0.4950 | g_loss: 4.7597 2023-06-03 22:20:01 | Epoch [16/50] | Batch 35/509 | d_loss: 0.3756 | g_loss: 4.1070 2023-06-03 22:20:03 | Epoch [16/50] | Batch 40/509 | d_loss: 0.3547 | g_loss: 4.6140 2023-06-03 22:20:04 | Epoch [16/50] | Batch 45/509 | d_loss: 0.3830 | g_loss: 4.0617 2023-06-03 22:20:06 | Epoch [16/50] | Batch 50/509 | d_loss: 0.6417 | g_loss: 4.9400 2023-06-03 22:20:08 | Epoch [16/50] | Batch 55/509 | d_loss: 0.4038 | g_loss: 3.3172 2023-06-03 22:20:09 | Epoch [16/50] | Batch 60/509 | d_loss: 0.4076 | g_loss: 3.7855 2023-06-03 22:20:11 | Epoch [16/50] | Batch 65/509 | d_loss: 0.5592 | g_loss: 2.1835 2023-06-03 22:20:13 | Epoch [16/50] | Batch 70/509 | d_loss: 0.3931 | g_loss: 4.1420 2023-06-03 22:20:14 | Epoch [16/50] | Batch 75/509 | d_loss: 0.4260 | g_loss: 2.9485 2023-06-03 22:20:16 | Epoch [16/50] | Batch 80/509 | d_loss: 0.3627 | g_loss: 5.4261 2023-06-03 22:20:18 | Epoch [16/50] | Batch 85/509 | d_loss: 0.3491 | g_loss: 5.4165 2023-06-03 22:20:19 | Epoch [16/50] | Batch 90/509 | d_loss: 0.3914 | g_loss: 2.6506 2023-06-03 22:20:21 | Epoch [16/50] | Batch 95/509 | d_loss: 0.3424 | g_loss: 6.4649 2023-06-03 22:20:22 | Epoch [16/50] | Batch 100/509 | d_loss: 0.4332 | g_loss: 3.7757 2023-06-03 22:20:24 | Epoch [16/50] | Batch 105/509 | d_loss: 0.5250 | g_loss: 5.5643 2023-06-03 22:20:26 | Epoch [16/50] | Batch 110/509 | d_loss: 0.4384 | g_loss: 5.0912 2023-06-03 22:20:27 | Epoch [16/50] | Batch 115/509 | d_loss: 0.4383 | g_loss: 3.9809 2023-06-03 22:20:29 | Epoch [16/50] | Batch 120/509 | d_loss: 0.3815 | g_loss: 3.8099 2023-06-03 22:20:31 | Epoch [16/50] | Batch 125/509 | d_loss: 0.3680 | g_loss: 4.7431 2023-06-03 22:20:32 | Epoch [16/50] | Batch 130/509 | d_loss: 0.4811 | g_loss: 3.2076 2023-06-03 22:20:34 | Epoch [16/50] | Batch 135/509 | d_loss: 0.4163 | g_loss: 2.7209 2023-06-03 22:20:36 | Epoch [16/50] | Batch 140/509 | d_loss: 0.3667 | g_loss: 5.6625 2023-06-03 22:20:37 | Epoch [16/50] | Batch 145/509 | d_loss: 0.3734 | g_loss: 5.2778 2023-06-03 22:20:39 | Epoch [16/50] | Batch 150/509 | d_loss: 0.4096 | g_loss: 4.0385 2023-06-03 22:20:41 | Epoch [16/50] | Batch 155/509 | d_loss: 0.4117 | g_loss: 3.3129 2023-06-03 22:20:42 | Epoch [16/50] | Batch 160/509 | d_loss: 0.4041 | g_loss: 4.0230 2023-06-03 22:20:44 | Epoch [16/50] | Batch 165/509 | d_loss: 0.4502 | g_loss: 4.5994 2023-06-03 22:20:45 | Epoch [16/50] | Batch 170/509 | d_loss: 0.3639 | g_loss: 4.0022 2023-06-03 22:20:47 | Epoch [16/50] | Batch 175/509 | d_loss: 0.3786 | g_loss: 3.8686 2023-06-03 22:20:49 | Epoch [16/50] | Batch 180/509 | d_loss: 0.5538 | g_loss: 5.5635 2023-06-03 22:20:50 | Epoch [16/50] | Batch 185/509 | d_loss: 0.4027 | g_loss: 4.7209 2023-06-03 22:20:52 | Epoch [16/50] | Batch 190/509 | d_loss: 0.4106 | g_loss: 3.1456 2023-06-03 22:20:54 | Epoch [16/50] | Batch 195/509 | d_loss: 0.3418 | g_loss: 4.5415 2023-06-03 22:20:55 | Epoch [16/50] | Batch 200/509 | d_loss: 0.4699 | g_loss: 3.7959 2023-06-03 22:20:57 | Epoch [16/50] | Batch 205/509 | d_loss: 0.4277 | g_loss: 4.8728 2023-06-03 22:20:59 | Epoch [16/50] | Batch 210/509 | d_loss: 0.4283 | g_loss: 3.2021 2023-06-03 22:21:00 | Epoch [16/50] | Batch 215/509 | d_loss: 1.2325 | g_loss: 5.4856 2023-06-03 22:21:02 | Epoch [16/50] | Batch 220/509 | d_loss: 0.6718 | g_loss: 4.7998 2023-06-03 22:21:03 | Epoch [16/50] | Batch 225/509 | d_loss: 0.3880 | g_loss: 4.0773 2023-06-03 22:21:05 | Epoch [16/50] | Batch 230/509 | d_loss: 0.3966 | g_loss: 5.3385 2023-06-03 22:21:07 | Epoch [16/50] | Batch 235/509 | d_loss: 0.3899 | g_loss: 3.1574 2023-06-03 22:21:08 | Epoch [16/50] | Batch 240/509 | d_loss: 0.4173 | g_loss: 3.8797 2023-06-03 22:21:10 | Epoch [16/50] | Batch 245/509 | d_loss: 0.4421 | g_loss: 3.6174 2023-06-03 22:21:12 | Epoch [16/50] | Batch 250/509 | d_loss: 0.7590 | g_loss: 4.6644 2023-06-03 22:21:13 | Epoch [16/50] | Batch 255/509 | d_loss: 0.4530 | g_loss: 3.2352 2023-06-03 22:21:15 | Epoch [16/50] | Batch 260/509 | d_loss: 0.3702 | g_loss: 4.3926 2023-06-03 22:21:17 | Epoch [16/50] | Batch 265/509 | d_loss: 0.3980 | g_loss: 4.6160 2023-06-03 22:21:18 | Epoch [16/50] | Batch 270/509 | d_loss: 0.4041 | g_loss: 3.5460 2023-06-03 22:21:20 | Epoch [16/50] | Batch 275/509 | d_loss: 0.3822 | g_loss: 4.3099 2023-06-03 22:21:22 | Epoch [16/50] | Batch 280/509 | d_loss: 0.3922 | g_loss: 4.6943 2023-06-03 22:21:23 | Epoch [16/50] | Batch 285/509 | d_loss: 0.4633 | g_loss: 3.4706 2023-06-03 22:21:25 | Epoch [16/50] | Batch 290/509 | d_loss: 0.8968 | g_loss: 2.1978 2023-06-03 22:21:26 | Epoch [16/50] | Batch 295/509 | d_loss: 0.4131 | g_loss: 6.5154 2023-06-03 22:21:28 | Epoch [16/50] | Batch 300/509 | d_loss: 0.4302 | g_loss: 5.2917 2023-06-03 22:21:30 | Epoch [16/50] | Batch 305/509 | d_loss: 0.4187 | g_loss: 4.2680 2023-06-03 22:21:31 | Epoch [16/50] | Batch 310/509 | d_loss: 0.5423 | g_loss: 4.6683 2023-06-03 22:21:33 | Epoch [16/50] | Batch 315/509 | d_loss: 0.4018 | g_loss: 3.6931 2023-06-03 22:21:35 | Epoch [16/50] | Batch 320/509 | d_loss: 1.8282 | g_loss: 7.4734 2023-06-03 22:21:36 | Epoch [16/50] | Batch 325/509 | d_loss: 0.4373 | g_loss: 2.7231 2023-06-03 22:21:38 | Epoch [16/50] | Batch 330/509 | d_loss: 0.7216 | g_loss: 6.5362 2023-06-03 22:21:40 | Epoch [16/50] | Batch 335/509 | d_loss: 0.3922 | g_loss: 4.0883 2023-06-03 22:21:41 | Epoch [16/50] | Batch 340/509 | d_loss: 0.4044 | g_loss: 4.6200 2023-06-03 22:21:43 | Epoch [16/50] | Batch 345/509 | d_loss: 0.5881 | g_loss: 4.5414 2023-06-03 22:21:44 | Epoch [16/50] | Batch 350/509 | d_loss: 0.5508 | g_loss: 3.6784 2023-06-03 22:21:46 | Epoch [16/50] | Batch 355/509 | d_loss: 0.3817 | g_loss: 4.3160 2023-06-03 22:21:48 | Epoch [16/50] | Batch 360/509 | d_loss: 0.3829 | g_loss: 3.5864 2023-06-03 22:21:49 | Epoch [16/50] | Batch 365/509 | d_loss: 0.3790 | g_loss: 4.8963 2023-06-03 22:21:51 | Epoch [16/50] | Batch 370/509 | d_loss: 0.3931 | g_loss: 3.6890 2023-06-03 22:21:53 | Epoch [16/50] | Batch 375/509 | d_loss: 0.3620 | g_loss: 3.8611 2023-06-03 22:21:54 | Epoch [16/50] | Batch 380/509 | d_loss: 0.4147 | g_loss: 4.2774 2023-06-03 22:21:56 | Epoch [16/50] | Batch 385/509 | d_loss: 0.3900 | g_loss: 3.3133 2023-06-03 22:21:58 | Epoch [16/50] | Batch 390/509 | d_loss: 0.4077 | g_loss: 2.6225 2023-06-03 22:21:59 | Epoch [16/50] | Batch 395/509 | d_loss: 0.3675 | g_loss: 4.3123 2023-06-03 22:22:01 | Epoch [16/50] | Batch 400/509 | d_loss: 0.5916 | g_loss: 2.4457 2023-06-03 22:22:03 | Epoch [16/50] | Batch 405/509 | d_loss: 0.4119 | g_loss: 4.1098 2023-06-03 22:22:04 | Epoch [16/50] | Batch 410/509 | d_loss: 0.3947 | g_loss: 4.9075 2023-06-03 22:22:06 | Epoch [16/50] | Batch 415/509 | d_loss: 0.3769 | g_loss: 4.3723 2023-06-03 22:22:07 | Epoch [16/50] | Batch 420/509 | d_loss: 0.4422 | g_loss: 3.1603 2023-06-03 22:22:09 | Epoch [16/50] | Batch 425/509 | d_loss: 0.4026 | g_loss: 4.3791 2023-06-03 22:22:11 | Epoch [16/50] | Batch 430/509 | d_loss: 0.3672 | g_loss: 4.4261 2023-06-03 22:22:12 | Epoch [16/50] | Batch 435/509 | d_loss: 0.3715 | g_loss: 4.4503 2023-06-03 22:22:14 | Epoch [16/50] | Batch 440/509 | d_loss: 0.6923 | g_loss: 1.0453 2023-06-03 22:22:16 | Epoch [16/50] | Batch 445/509 | d_loss: 0.8174 | g_loss: 7.4424 2023-06-03 22:22:17 | Epoch [16/50] | Batch 450/509 | d_loss: 0.8381 | g_loss: 2.4558 2023-06-03 22:22:19 | Epoch [16/50] | Batch 455/509 | d_loss: 0.5344 | g_loss: 2.9191 2023-06-03 22:22:21 | Epoch [16/50] | Batch 460/509 | d_loss: 0.4949 | g_loss: 4.9827 2023-06-03 22:22:22 | Epoch [16/50] | Batch 465/509 | d_loss: 0.6005 | g_loss: 3.4554 2023-06-03 22:22:24 | Epoch [16/50] | Batch 470/509 | d_loss: 0.4225 | g_loss: 3.7433 2023-06-03 22:22:25 | Epoch [16/50] | Batch 475/509 | d_loss: 0.6711 | g_loss: 2.8659 2023-06-03 22:22:27 | Epoch [16/50] | Batch 480/509 | d_loss: 1.6974 | g_loss: 1.3253 2023-06-03 22:22:29 | Epoch [16/50] | Batch 485/509 | d_loss: 0.6185 | g_loss: 4.2517 2023-06-03 22:22:30 | Epoch [16/50] | Batch 490/509 | d_loss: 0.6002 | g_loss: 2.2214 2023-06-03 22:22:32 | Epoch [16/50] | Batch 495/509 | d_loss: 0.5658 | g_loss: 3.2862 2023-06-03 22:22:34 | Epoch [16/50] | Batch 500/509 | d_loss: 0.4232 | g_loss: 3.0948 2023-06-03 22:22:35 | Epoch [16/50] | Batch 505/509 | d_loss: 0.4100 | g_loss: 3.7025
2023-06-03 22:22:38 | Epoch [17/50] | Batch 0/509 | d_loss: 0.3925 | g_loss: 3.2765 2023-06-03 22:22:39 | Epoch [17/50] | Batch 5/509 | d_loss: 0.3609 | g_loss: 4.3182 2023-06-03 22:22:41 | Epoch [17/50] | Batch 10/509 | d_loss: 0.4824 | g_loss: 4.2289 2023-06-03 22:22:43 | Epoch [17/50] | Batch 15/509 | d_loss: 0.5241 | g_loss: 4.8285 2023-06-03 22:22:44 | Epoch [17/50] | Batch 20/509 | d_loss: 0.3789 | g_loss: 6.2938 2023-06-03 22:22:46 | Epoch [17/50] | Batch 25/509 | d_loss: 0.4177 | g_loss: 4.6809 2023-06-03 22:22:48 | Epoch [17/50] | Batch 30/509 | d_loss: 0.3981 | g_loss: 3.6626 2023-06-03 22:22:49 | Epoch [17/50] | Batch 35/509 | d_loss: 0.4120 | g_loss: 4.4418 2023-06-03 22:22:51 | Epoch [17/50] | Batch 40/509 | d_loss: 0.5028 | g_loss: 2.2916 2023-06-03 22:22:53 | Epoch [17/50] | Batch 45/509 | d_loss: 0.4729 | g_loss: 3.6668 2023-06-03 22:22:54 | Epoch [17/50] | Batch 50/509 | d_loss: 0.3766 | g_loss: 5.4735 2023-06-03 22:22:56 | Epoch [17/50] | Batch 55/509 | d_loss: 1.2439 | g_loss: 7.3254 2023-06-03 22:22:58 | Epoch [17/50] | Batch 60/509 | d_loss: 0.4682 | g_loss: 3.1340 2023-06-03 22:22:59 | Epoch [17/50] | Batch 65/509 | d_loss: 0.4396 | g_loss: 2.9179 2023-06-03 22:23:01 | Epoch [17/50] | Batch 70/509 | d_loss: 0.4195 | g_loss: 3.1978 2023-06-03 22:23:02 | Epoch [17/50] | Batch 75/509 | d_loss: 0.6118 | g_loss: 6.0281 2023-06-03 22:23:04 | Epoch [17/50] | Batch 80/509 | d_loss: 0.4722 | g_loss: 3.8905 2023-06-03 22:23:06 | Epoch [17/50] | Batch 85/509 | d_loss: 0.4304 | g_loss: 3.5360 2023-06-03 22:23:07 | Epoch [17/50] | Batch 90/509 | d_loss: 0.4103 | g_loss: 3.9817 2023-06-03 22:23:09 | Epoch [17/50] | Batch 95/509 | d_loss: 0.4093 | g_loss: 3.9135 2023-06-03 22:23:11 | Epoch [17/50] | Batch 100/509 | d_loss: 0.3926 | g_loss: 3.6461 2023-06-03 22:23:12 | Epoch [17/50] | Batch 105/509 | d_loss: 0.3661 | g_loss: 3.7785 2023-06-03 22:23:14 | Epoch [17/50] | Batch 110/509 | d_loss: 0.4153 | g_loss: 3.8174 2023-06-03 22:23:16 | Epoch [17/50] | Batch 115/509 | d_loss: 0.4229 | g_loss: 4.3237 2023-06-03 22:23:17 | Epoch [17/50] | Batch 120/509 | d_loss: 0.4168 | g_loss: 2.9404 2023-06-03 22:23:19 | Epoch [17/50] | Batch 125/509 | d_loss: 0.3736 | g_loss: 4.9595 2023-06-03 22:23:20 | Epoch [17/50] | Batch 130/509 | d_loss: 0.3733 | g_loss: 3.9899 2023-06-03 22:23:22 | Epoch [17/50] | Batch 135/509 | d_loss: 0.3659 | g_loss: 3.7709 2023-06-03 22:23:24 | Epoch [17/50] | Batch 140/509 | d_loss: 0.3864 | g_loss: 3.7129 2023-06-03 22:23:25 | Epoch [17/50] | Batch 145/509 | d_loss: 0.5014 | g_loss: 3.9381 2023-06-03 22:23:27 | Epoch [17/50] | Batch 150/509 | d_loss: 0.3834 | g_loss: 3.4546 2023-06-03 22:23:29 | Epoch [17/50] | Batch 155/509 | d_loss: 0.4991 | g_loss: 4.1080 2023-06-03 22:23:30 | Epoch [17/50] | Batch 160/509 | d_loss: 0.4688 | g_loss: 5.6107 2023-06-03 22:23:32 | Epoch [17/50] | Batch 165/509 | d_loss: 0.3916 | g_loss: 4.4510 2023-06-03 22:23:34 | Epoch [17/50] | Batch 170/509 | d_loss: 0.3608 | g_loss: 4.6485 2023-06-03 22:23:35 | Epoch [17/50] | Batch 175/509 | d_loss: 0.3713 | g_loss: 4.9382 2023-06-03 22:23:37 | Epoch [17/50] | Batch 180/509 | d_loss: 0.4510 | g_loss: 5.2490 2023-06-03 22:23:38 | Epoch [17/50] | Batch 185/509 | d_loss: 0.6944 | g_loss: 2.1150 2023-06-03 22:23:40 | Epoch [17/50] | Batch 190/509 | d_loss: 0.3725 | g_loss: 5.1771 2023-06-03 22:23:42 | Epoch [17/50] | Batch 195/509 | d_loss: 0.3923 | g_loss: 4.2483 2023-06-03 22:23:43 | Epoch [17/50] | Batch 200/509 | d_loss: 0.5202 | g_loss: 4.5984 2023-06-03 22:23:45 | Epoch [17/50] | Batch 205/509 | d_loss: 0.5067 | g_loss: 4.8640 2023-06-03 22:23:47 | Epoch [17/50] | Batch 210/509 | d_loss: 0.4790 | g_loss: 3.9684 2023-06-03 22:23:48 | Epoch [17/50] | Batch 215/509 | d_loss: 0.3726 | g_loss: 3.8224 2023-06-03 22:23:50 | Epoch [17/50] | Batch 220/509 | d_loss: 0.4272 | g_loss: 3.9317 2023-06-03 22:23:52 | Epoch [17/50] | Batch 225/509 | d_loss: 0.3800 | g_loss: 3.7444 2023-06-03 22:23:53 | Epoch [17/50] | Batch 230/509 | d_loss: 0.4057 | g_loss: 4.4630 2023-06-03 22:23:55 | Epoch [17/50] | Batch 235/509 | d_loss: 0.3977 | g_loss: 3.8215 2023-06-03 22:23:56 | Epoch [17/50] | Batch 240/509 | d_loss: 0.3683 | g_loss: 4.0161 2023-06-03 22:23:58 | Epoch [17/50] | Batch 245/509 | d_loss: 0.3559 | g_loss: 4.6177 2023-06-03 22:24:00 | Epoch [17/50] | Batch 250/509 | d_loss: 0.3630 | g_loss: 7.0876 2023-06-03 22:24:01 | Epoch [17/50] | Batch 255/509 | d_loss: 0.3682 | g_loss: 4.8488 2023-06-03 22:24:03 | Epoch [17/50] | Batch 260/509 | d_loss: 0.4036 | g_loss: 4.6896 2023-06-03 22:24:05 | Epoch [17/50] | Batch 265/509 | d_loss: 0.3632 | g_loss: 5.7028 2023-06-03 22:24:06 | Epoch [17/50] | Batch 270/509 | d_loss: 0.5637 | g_loss: 3.7852 2023-06-03 22:24:08 | Epoch [17/50] | Batch 275/509 | d_loss: 0.3560 | g_loss: 5.2259 2023-06-03 22:24:10 | Epoch [17/50] | Batch 280/509 | d_loss: 0.5276 | g_loss: 4.0633 2023-06-03 22:24:11 | Epoch [17/50] | Batch 285/509 | d_loss: 0.4531 | g_loss: 4.7594 2023-06-03 22:24:13 | Epoch [17/50] | Batch 290/509 | d_loss: 0.3928 | g_loss: 3.3044 2023-06-03 22:24:14 | Epoch [17/50] | Batch 295/509 | d_loss: 0.3636 | g_loss: 3.9638 2023-06-03 22:24:16 | Epoch [17/50] | Batch 300/509 | d_loss: 0.3630 | g_loss: 4.7848 2023-06-03 22:24:18 | Epoch [17/50] | Batch 305/509 | d_loss: 0.4474 | g_loss: 4.1800 2023-06-03 22:24:19 | Epoch [17/50] | Batch 310/509 | d_loss: 0.4000 | g_loss: 5.4548 2023-06-03 22:24:21 | Epoch [17/50] | Batch 315/509 | d_loss: 0.3727 | g_loss: 4.1441 2023-06-03 22:24:23 | Epoch [17/50] | Batch 320/509 | d_loss: 0.3591 | g_loss: 4.8269 2023-06-03 22:24:24 | Epoch [17/50] | Batch 325/509 | d_loss: 0.5044 | g_loss: 3.5305 2023-06-03 22:24:26 | Epoch [17/50] | Batch 330/509 | d_loss: 0.4486 | g_loss: 4.3742 2023-06-03 22:24:28 | Epoch [17/50] | Batch 335/509 | d_loss: 0.3592 | g_loss: 4.5390 2023-06-03 22:24:29 | Epoch [17/50] | Batch 340/509 | d_loss: 0.4090 | g_loss: 4.2430 2023-06-03 22:24:31 | Epoch [17/50] | Batch 345/509 | d_loss: 0.4179 | g_loss: 4.7305 2023-06-03 22:24:32 | Epoch [17/50] | Batch 350/509 | d_loss: 0.4637 | g_loss: 4.8788 2023-06-03 22:24:34 | Epoch [17/50] | Batch 355/509 | d_loss: 0.5062 | g_loss: 4.7698 2023-06-03 22:24:36 | Epoch [17/50] | Batch 360/509 | d_loss: 0.6243 | g_loss: 5.7654 2023-06-03 22:24:37 | Epoch [17/50] | Batch 365/509 | d_loss: 0.3657 | g_loss: 5.0369 2023-06-03 22:24:39 | Epoch [17/50] | Batch 370/509 | d_loss: 0.4742 | g_loss: 3.2686 2023-06-03 22:24:41 | Epoch [17/50] | Batch 375/509 | d_loss: 0.6530 | g_loss: 6.1280 2023-06-03 22:24:42 | Epoch [17/50] | Batch 380/509 | d_loss: 0.3860 | g_loss: 3.8948 2023-06-03 22:24:44 | Epoch [17/50] | Batch 385/509 | d_loss: 0.4696 | g_loss: 3.8321 2023-06-03 22:24:46 | Epoch [17/50] | Batch 390/509 | d_loss: 0.4055 | g_loss: 4.8993 2023-06-03 22:24:47 | Epoch [17/50] | Batch 395/509 | d_loss: 0.3674 | g_loss: 5.1104 2023-06-03 22:24:49 | Epoch [17/50] | Batch 400/509 | d_loss: 0.3636 | g_loss: 3.9482 2023-06-03 22:24:50 | Epoch [17/50] | Batch 405/509 | d_loss: 0.3546 | g_loss: 5.4211 2023-06-03 22:24:52 | Epoch [17/50] | Batch 410/509 | d_loss: 0.4155 | g_loss: 4.5370 2023-06-03 22:24:54 | Epoch [17/50] | Batch 415/509 | d_loss: 0.4536 | g_loss: 4.3570 2023-06-03 22:24:55 | Epoch [17/50] | Batch 420/509 | d_loss: 0.3797 | g_loss: 3.6436 2023-06-03 22:24:57 | Epoch [17/50] | Batch 425/509 | d_loss: 0.4355 | g_loss: 4.6100 2023-06-03 22:24:59 | Epoch [17/50] | Batch 430/509 | d_loss: 0.4227 | g_loss: 2.4394 2023-06-03 22:25:00 | Epoch [17/50] | Batch 435/509 | d_loss: 0.3618 | g_loss: 5.3422 2023-06-03 22:25:02 | Epoch [17/50] | Batch 440/509 | d_loss: 0.3885 | g_loss: 5.0084 2023-06-03 22:25:04 | Epoch [17/50] | Batch 445/509 | d_loss: 0.3617 | g_loss: 4.8615 2023-06-03 22:25:05 | Epoch [17/50] | Batch 450/509 | d_loss: 0.3455 | g_loss: 5.9782 2023-06-03 22:25:07 | Epoch [17/50] | Batch 455/509 | d_loss: 0.4263 | g_loss: 3.4492 2023-06-03 22:25:08 | Epoch [17/50] | Batch 460/509 | d_loss: 0.3514 | g_loss: 5.9778 2023-06-03 22:25:10 | Epoch [17/50] | Batch 465/509 | d_loss: 0.3557 | g_loss: 4.6062 2023-06-03 22:25:12 | Epoch [17/50] | Batch 470/509 | d_loss: 0.3600 | g_loss: 4.5422 2023-06-03 22:25:13 | Epoch [17/50] | Batch 475/509 | d_loss: 0.3675 | g_loss: 4.1811 2023-06-03 22:25:15 | Epoch [17/50] | Batch 480/509 | d_loss: 0.8163 | g_loss: 6.6132 2023-06-03 22:25:17 | Epoch [17/50] | Batch 485/509 | d_loss: 1.4044 | g_loss: 7.7519 2023-06-03 22:25:18 | Epoch [17/50] | Batch 490/509 | d_loss: 0.5365 | g_loss: 3.3880 2023-06-03 22:25:20 | Epoch [17/50] | Batch 495/509 | d_loss: 0.5738 | g_loss: 2.5993 2023-06-03 22:25:22 | Epoch [17/50] | Batch 500/509 | d_loss: 0.4208 | g_loss: 3.8581 2023-06-03 22:25:23 | Epoch [17/50] | Batch 505/509 | d_loss: 0.3948 | g_loss: 5.1480
2023-06-03 22:25:26 | Epoch [18/50] | Batch 0/509 | d_loss: 0.4290 | g_loss: 3.7064 2023-06-03 22:25:27 | Epoch [18/50] | Batch 5/509 | d_loss: 0.4578 | g_loss: 3.7887 2023-06-03 22:25:29 | Epoch [18/50] | Batch 10/509 | d_loss: 0.7280 | g_loss: 3.1085 2023-06-03 22:25:31 | Epoch [18/50] | Batch 15/509 | d_loss: 0.4467 | g_loss: 4.8230 2023-06-03 22:25:32 | Epoch [18/50] | Batch 20/509 | d_loss: 0.3816 | g_loss: 4.3672 2023-06-03 22:25:34 | Epoch [18/50] | Batch 25/509 | d_loss: 0.4187 | g_loss: 4.3320 2023-06-03 22:25:35 | Epoch [18/50] | Batch 30/509 | d_loss: 0.5301 | g_loss: 4.0987 2023-06-03 22:25:37 | Epoch [18/50] | Batch 35/509 | d_loss: 0.3683 | g_loss: 3.5902 2023-06-03 22:25:39 | Epoch [18/50] | Batch 40/509 | d_loss: 0.4324 | g_loss: 5.5643 2023-06-03 22:25:40 | Epoch [18/50] | Batch 45/509 | d_loss: 0.5726 | g_loss: 4.7050 2023-06-03 22:25:42 | Epoch [18/50] | Batch 50/509 | d_loss: 0.3595 | g_loss: 4.4432 2023-06-03 22:25:44 | Epoch [18/50] | Batch 55/509 | d_loss: 0.6392 | g_loss: 4.2973 2023-06-03 22:25:45 | Epoch [18/50] | Batch 60/509 | d_loss: 0.5023 | g_loss: 3.4043 2023-06-03 22:25:47 | Epoch [18/50] | Batch 65/509 | d_loss: 0.5676 | g_loss: 4.1645 2023-06-03 22:25:49 | Epoch [18/50] | Batch 70/509 | d_loss: 0.4669 | g_loss: 3.9385 2023-06-03 22:25:50 | Epoch [18/50] | Batch 75/509 | d_loss: 0.3884 | g_loss: 4.3586 2023-06-03 22:25:52 | Epoch [18/50] | Batch 80/509 | d_loss: 0.3996 | g_loss: 4.5749 2023-06-03 22:25:53 | Epoch [18/50] | Batch 85/509 | d_loss: 0.4127 | g_loss: 4.6822 2023-06-03 22:25:55 | Epoch [18/50] | Batch 90/509 | d_loss: 0.4018 | g_loss: 3.9551 2023-06-03 22:25:57 | Epoch [18/50] | Batch 95/509 | d_loss: 0.7476 | g_loss: 7.7686 2023-06-03 22:25:58 | Epoch [18/50] | Batch 100/509 | d_loss: 0.5696 | g_loss: 5.0806 2023-06-03 22:26:00 | Epoch [18/50] | Batch 105/509 | d_loss: 0.5566 | g_loss: 5.0038 2023-06-03 22:26:02 | Epoch [18/50] | Batch 110/509 | d_loss: 0.4206 | g_loss: 4.2932 2023-06-03 22:26:03 | Epoch [18/50] | Batch 115/509 | d_loss: 1.2909 | g_loss: 3.9354 2023-06-03 22:26:05 | Epoch [18/50] | Batch 120/509 | d_loss: 0.4191 | g_loss: 3.6945 2023-06-03 22:26:07 | Epoch [18/50] | Batch 125/509 | d_loss: 0.4120 | g_loss: 4.8592 2023-06-03 22:26:08 | Epoch [18/50] | Batch 130/509 | d_loss: 0.3674 | g_loss: 5.9356 2023-06-03 22:26:10 | Epoch [18/50] | Batch 135/509 | d_loss: 0.3899 | g_loss: 3.7719 2023-06-03 22:26:11 | Epoch [18/50] | Batch 140/509 | d_loss: 0.4164 | g_loss: 3.3567 2023-06-03 22:26:13 | Epoch [18/50] | Batch 145/509 | d_loss: 0.5372 | g_loss: 3.4479 2023-06-03 22:26:15 | Epoch [18/50] | Batch 150/509 | d_loss: 0.4736 | g_loss: 4.3545 2023-06-03 22:26:16 | Epoch [18/50] | Batch 155/509 | d_loss: 0.3747 | g_loss: 4.1411 2023-06-03 22:26:18 | Epoch [18/50] | Batch 160/509 | d_loss: 0.3949 | g_loss: 3.4369 2023-06-03 22:26:20 | Epoch [18/50] | Batch 165/509 | d_loss: 0.5790 | g_loss: 5.2099 2023-06-03 22:26:21 | Epoch [18/50] | Batch 170/509 | d_loss: 0.3575 | g_loss: 5.0838 2023-06-03 22:26:23 | Epoch [18/50] | Batch 175/509 | d_loss: 0.3703 | g_loss: 4.3784 2023-06-03 22:26:25 | Epoch [18/50] | Batch 180/509 | d_loss: 0.4924 | g_loss: 2.2702 2023-06-03 22:26:26 | Epoch [18/50] | Batch 185/509 | d_loss: 1.1538 | g_loss: 4.0118 2023-06-03 22:26:28 | Epoch [18/50] | Batch 190/509 | d_loss: 0.5358 | g_loss: 3.9311 2023-06-03 22:26:29 | Epoch [18/50] | Batch 195/509 | d_loss: 0.4579 | g_loss: 3.0201 2023-06-03 22:26:31 | Epoch [18/50] | Batch 200/509 | d_loss: 0.4055 | g_loss: 4.1905 2023-06-03 22:26:33 | Epoch [18/50] | Batch 205/509 | d_loss: 0.4278 | g_loss: 3.9060 2023-06-03 22:26:34 | Epoch [18/50] | Batch 210/509 | d_loss: 0.3847 | g_loss: 4.5124 2023-06-03 22:26:36 | Epoch [18/50] | Batch 215/509 | d_loss: 0.3921 | g_loss: 4.2118 2023-06-03 22:26:38 | Epoch [18/50] | Batch 220/509 | d_loss: 0.4500 | g_loss: 4.5688 2023-06-03 22:26:39 | Epoch [18/50] | Batch 225/509 | d_loss: 0.3844 | g_loss: 5.0040 2023-06-03 22:26:41 | Epoch [18/50] | Batch 230/509 | d_loss: 0.3762 | g_loss: 5.4531 2023-06-03 22:26:43 | Epoch [18/50] | Batch 235/509 | d_loss: 0.3685 | g_loss: 4.9798 2023-06-03 22:26:44 | Epoch [18/50] | Batch 240/509 | d_loss: 0.4023 | g_loss: 5.7948 2023-06-03 22:26:46 | Epoch [18/50] | Batch 245/509 | d_loss: 0.4411 | g_loss: 3.4617 2023-06-03 22:26:48 | Epoch [18/50] | Batch 250/509 | d_loss: 0.3992 | g_loss: 4.4980 2023-06-03 22:26:49 | Epoch [18/50] | Batch 255/509 | d_loss: 0.4126 | g_loss: 4.4867 2023-06-03 22:26:51 | Epoch [18/50] | Batch 260/509 | d_loss: 0.4005 | g_loss: 4.8548 2023-06-03 22:26:52 | Epoch [18/50] | Batch 265/509 | d_loss: 0.3734 | g_loss: 5.5782 2023-06-03 22:26:54 | Epoch [18/50] | Batch 270/509 | d_loss: 0.3660 | g_loss: 4.0586 2023-06-03 22:26:56 | Epoch [18/50] | Batch 275/509 | d_loss: 0.5150 | g_loss: 2.0812 2023-06-03 22:26:57 | Epoch [18/50] | Batch 280/509 | d_loss: 0.3839 | g_loss: 4.1793 2023-06-03 22:26:59 | Epoch [18/50] | Batch 285/509 | d_loss: 0.3634 | g_loss: 4.3814 2023-06-03 22:27:01 | Epoch [18/50] | Batch 290/509 | d_loss: 0.5630 | g_loss: 4.1727 2023-06-03 22:27:02 | Epoch [18/50] | Batch 295/509 | d_loss: 0.3615 | g_loss: 4.8931 2023-06-03 22:27:04 | Epoch [18/50] | Batch 300/509 | d_loss: 0.5754 | g_loss: 2.8414 2023-06-03 22:27:06 | Epoch [18/50] | Batch 305/509 | d_loss: 0.3979 | g_loss: 3.6708 2023-06-03 22:27:07 | Epoch [18/50] | Batch 310/509 | d_loss: 0.5485 | g_loss: 5.0404 2023-06-03 22:27:09 | Epoch [18/50] | Batch 315/509 | d_loss: 0.3766 | g_loss: 3.8781 2023-06-03 22:27:10 | Epoch [18/50] | Batch 320/509 | d_loss: 0.3722 | g_loss: 4.2414 2023-06-03 22:27:12 | Epoch [18/50] | Batch 325/509 | d_loss: 0.3885 | g_loss: 4.4672 2023-06-03 22:27:14 | Epoch [18/50] | Batch 330/509 | d_loss: 0.3621 | g_loss: 3.0439 2023-06-03 22:27:15 | Epoch [18/50] | Batch 335/509 | d_loss: 0.4830 | g_loss: 4.6118 2023-06-03 22:27:17 | Epoch [18/50] | Batch 340/509 | d_loss: 0.3489 | g_loss: 5.1930 2023-06-03 22:27:19 | Epoch [18/50] | Batch 345/509 | d_loss: 0.8165 | g_loss: 5.6153 2023-06-03 22:27:20 | Epoch [18/50] | Batch 350/509 | d_loss: 0.4034 | g_loss: 4.0216 2023-06-03 22:27:22 | Epoch [18/50] | Batch 355/509 | d_loss: 0.3722 | g_loss: 4.0428 2023-06-03 22:27:24 | Epoch [18/50] | Batch 360/509 | d_loss: 0.3590 | g_loss: 4.9617 2023-06-03 22:27:25 | Epoch [18/50] | Batch 365/509 | d_loss: 0.3871 | g_loss: 4.5250 2023-06-03 22:27:27 | Epoch [18/50] | Batch 370/509 | d_loss: 0.3927 | g_loss: 4.1555 2023-06-03 22:27:28 | Epoch [18/50] | Batch 375/509 | d_loss: 0.4642 | g_loss: 2.2230 2023-06-03 22:27:30 | Epoch [18/50] | Batch 380/509 | d_loss: 0.3894 | g_loss: 4.3763 2023-06-03 22:27:32 | Epoch [18/50] | Batch 385/509 | d_loss: 0.4182 | g_loss: 5.2820 2023-06-03 22:27:33 | Epoch [18/50] | Batch 390/509 | d_loss: 0.3768 | g_loss: 5.3362 2023-06-03 22:27:35 | Epoch [18/50] | Batch 395/509 | d_loss: 0.4262 | g_loss: 4.0843 2023-06-03 22:27:37 | Epoch [18/50] | Batch 400/509 | d_loss: 0.4132 | g_loss: 4.6451 2023-06-03 22:27:38 | Epoch [18/50] | Batch 405/509 | d_loss: 0.3688 | g_loss: 5.5155 2023-06-03 22:27:40 | Epoch [18/50] | Batch 410/509 | d_loss: 0.3941 | g_loss: 4.3926 2023-06-03 22:27:42 | Epoch [18/50] | Batch 415/509 | d_loss: 0.4102 | g_loss: 3.6683 2023-06-03 22:27:43 | Epoch [18/50] | Batch 420/509 | d_loss: 0.4528 | g_loss: 4.2516 2023-06-03 22:27:45 | Epoch [18/50] | Batch 425/509 | d_loss: 0.3638 | g_loss: 5.4616 2023-06-03 22:27:46 | Epoch [18/50] | Batch 430/509 | d_loss: 0.5878 | g_loss: 5.7213 2023-06-03 22:27:48 | Epoch [18/50] | Batch 435/509 | d_loss: 0.3628 | g_loss: 5.5883 2023-06-03 22:27:50 | Epoch [18/50] | Batch 440/509 | d_loss: 0.4165 | g_loss: 3.9190 2023-06-03 22:27:51 | Epoch [18/50] | Batch 445/509 | d_loss: 0.3837 | g_loss: 4.4089 2023-06-03 22:27:53 | Epoch [18/50] | Batch 450/509 | d_loss: 0.3573 | g_loss: 4.7442 2023-06-03 22:27:55 | Epoch [18/50] | Batch 455/509 | d_loss: 0.3727 | g_loss: 4.4852 2023-06-03 22:27:56 | Epoch [18/50] | Batch 460/509 | d_loss: 0.3454 | g_loss: 5.4960 2023-06-03 22:27:58 | Epoch [18/50] | Batch 465/509 | d_loss: 0.3786 | g_loss: 4.9900 2023-06-03 22:28:00 | Epoch [18/50] | Batch 470/509 | d_loss: 0.3596 | g_loss: 4.4110 2023-06-03 22:28:01 | Epoch [18/50] | Batch 475/509 | d_loss: 0.4016 | g_loss: 4.2382 2023-06-03 22:28:03 | Epoch [18/50] | Batch 480/509 | d_loss: 0.3801 | g_loss: 3.1341 2023-06-03 22:28:05 | Epoch [18/50] | Batch 485/509 | d_loss: 0.3992 | g_loss: 3.4607 2023-06-03 22:28:06 | Epoch [18/50] | Batch 490/509 | d_loss: 0.5194 | g_loss: 5.7291 2023-06-03 22:28:08 | Epoch [18/50] | Batch 495/509 | d_loss: 1.4321 | g_loss: 5.9151 2023-06-03 22:28:09 | Epoch [18/50] | Batch 500/509 | d_loss: 0.4948 | g_loss: 4.8307 2023-06-03 22:28:11 | Epoch [18/50] | Batch 505/509 | d_loss: 0.5355 | g_loss: 3.4948
2023-06-03 22:28:13 | Epoch [19/50] | Batch 0/509 | d_loss: 0.5990 | g_loss: 3.5142 2023-06-03 22:28:15 | Epoch [19/50] | Batch 5/509 | d_loss: 0.4638 | g_loss: 3.9056 2023-06-03 22:28:17 | Epoch [19/50] | Batch 10/509 | d_loss: 0.4045 | g_loss: 3.7444 2023-06-03 22:28:18 | Epoch [19/50] | Batch 15/509 | d_loss: 0.4398 | g_loss: 3.2347 2023-06-03 22:28:20 | Epoch [19/50] | Batch 20/509 | d_loss: 0.4987 | g_loss: 4.0636 2023-06-03 22:28:22 | Epoch [19/50] | Batch 25/509 | d_loss: 0.3935 | g_loss: 3.6147 2023-06-03 22:28:23 | Epoch [19/50] | Batch 30/509 | d_loss: 0.4171 | g_loss: 3.1964 2023-06-03 22:28:25 | Epoch [19/50] | Batch 35/509 | d_loss: 0.4873 | g_loss: 4.5545 2023-06-03 22:28:27 | Epoch [19/50] | Batch 40/509 | d_loss: 0.6252 | g_loss: 3.9960 2023-06-03 22:28:28 | Epoch [19/50] | Batch 45/509 | d_loss: 0.6521 | g_loss: 4.9824 2023-06-03 22:28:30 | Epoch [19/50] | Batch 50/509 | d_loss: 0.3664 | g_loss: 4.6689 2023-06-03 22:28:31 | Epoch [19/50] | Batch 55/509 | d_loss: 0.3772 | g_loss: 4.8205 2023-06-03 22:28:33 | Epoch [19/50] | Batch 60/509 | d_loss: 0.8132 | g_loss: 4.7985 2023-06-03 22:28:35 | Epoch [19/50] | Batch 65/509 | d_loss: 0.7834 | g_loss: 1.4231 2023-06-03 22:28:36 | Epoch [19/50] | Batch 70/509 | d_loss: 0.5109 | g_loss: 4.9568 2023-06-03 22:28:38 | Epoch [19/50] | Batch 75/509 | d_loss: 0.4119 | g_loss: 3.6526 2023-06-03 22:28:40 | Epoch [19/50] | Batch 80/509 | d_loss: 0.4108 | g_loss: 3.8826 2023-06-03 22:28:41 | Epoch [19/50] | Batch 85/509 | d_loss: 0.3963 | g_loss: 5.3306 2023-06-03 22:28:43 | Epoch [19/50] | Batch 90/509 | d_loss: 0.3604 | g_loss: 5.4105 2023-06-03 22:28:45 | Epoch [19/50] | Batch 95/509 | d_loss: 0.3901 | g_loss: 3.8404 2023-06-03 22:28:46 | Epoch [19/50] | Batch 100/509 | d_loss: 0.4292 | g_loss: 2.6848 2023-06-03 22:28:48 | Epoch [19/50] | Batch 105/509 | d_loss: 0.3766 | g_loss: 5.3389 2023-06-03 22:28:50 | Epoch [19/50] | Batch 110/509 | d_loss: 0.3968 | g_loss: 3.5710 2023-06-03 22:28:51 | Epoch [19/50] | Batch 115/509 | d_loss: 0.4313 | g_loss: 4.7601 2023-06-03 22:28:53 | Epoch [19/50] | Batch 120/509 | d_loss: 0.3770 | g_loss: 3.2608 2023-06-03 22:28:54 | Epoch [19/50] | Batch 125/509 | d_loss: 0.3785 | g_loss: 2.9876 2023-06-03 22:28:56 | Epoch [19/50] | Batch 130/509 | d_loss: 0.4034 | g_loss: 4.7869 2023-06-03 22:28:58 | Epoch [19/50] | Batch 135/509 | d_loss: 0.3624 | g_loss: 6.4410 2023-06-03 22:28:59 | Epoch [19/50] | Batch 140/509 | d_loss: 0.4125 | g_loss: 3.1260 2023-06-03 22:29:01 | Epoch [19/50] | Batch 145/509 | d_loss: 0.4640 | g_loss: 4.6393 2023-06-03 22:29:03 | Epoch [19/50] | Batch 150/509 | d_loss: 0.4032 | g_loss: 3.2366 2023-06-03 22:29:04 | Epoch [19/50] | Batch 155/509 | d_loss: 0.4816 | g_loss: 4.5998 2023-06-03 22:29:06 | Epoch [19/50] | Batch 160/509 | d_loss: 0.3905 | g_loss: 3.4526 2023-06-03 22:29:08 | Epoch [19/50] | Batch 165/509 | d_loss: 0.3676 | g_loss: 4.7639 2023-06-03 22:29:09 | Epoch [19/50] | Batch 170/509 | d_loss: 0.4184 | g_loss: 3.7428 2023-06-03 22:29:11 | Epoch [19/50] | Batch 175/509 | d_loss: 0.3597 | g_loss: 4.4435 2023-06-03 22:29:13 | Epoch [19/50] | Batch 180/509 | d_loss: 0.4034 | g_loss: 5.1675 2023-06-03 22:29:14 | Epoch [19/50] | Batch 185/509 | d_loss: 0.3724 | g_loss: 3.9121 2023-06-03 22:29:16 | Epoch [19/50] | Batch 190/509 | d_loss: 1.0700 | g_loss: 3.7031 2023-06-03 22:29:17 | Epoch [19/50] | Batch 195/509 | d_loss: 0.6373 | g_loss: 3.5651 2023-06-03 22:29:19 | Epoch [19/50] | Batch 200/509 | d_loss: 0.3907 | g_loss: 4.8776 2023-06-03 22:29:21 | Epoch [19/50] | Batch 205/509 | d_loss: 0.4594 | g_loss: 3.9223 2023-06-03 22:29:22 | Epoch [19/50] | Batch 210/509 | d_loss: 0.3891 | g_loss: 4.0178 2023-06-03 22:29:24 | Epoch [19/50] | Batch 215/509 | d_loss: 0.4075 | g_loss: 4.3410 2023-06-03 22:29:26 | Epoch [19/50] | Batch 220/509 | d_loss: 0.4159 | g_loss: 3.4518 2023-06-03 22:29:27 | Epoch [19/50] | Batch 225/509 | d_loss: 0.3581 | g_loss: 4.6265 2023-06-03 22:29:29 | Epoch [19/50] | Batch 230/509 | d_loss: 0.3542 | g_loss: 5.6354 2023-06-03 22:29:31 | Epoch [19/50] | Batch 235/509 | d_loss: 0.3719 | g_loss: 4.2176 2023-06-03 22:29:32 | Epoch [19/50] | Batch 240/509 | d_loss: 0.5533 | g_loss: 6.8991 2023-06-03 22:29:34 | Epoch [19/50] | Batch 245/509 | d_loss: 0.3555 | g_loss: 4.9994 2023-06-03 22:29:35 | Epoch [19/50] | Batch 250/509 | d_loss: 0.5552 | g_loss: 4.5449 2023-06-03 22:29:37 | Epoch [19/50] | Batch 255/509 | d_loss: 0.3728 | g_loss: 4.6149 2023-06-03 22:29:39 | Epoch [19/50] | Batch 260/509 | d_loss: 0.3921 | g_loss: 3.6167 2023-06-03 22:29:40 | Epoch [19/50] | Batch 265/509 | d_loss: 0.3528 | g_loss: 5.6912 2023-06-03 22:29:42 | Epoch [19/50] | Batch 270/509 | d_loss: 0.4861 | g_loss: 3.8651 2023-06-03 22:29:44 | Epoch [19/50] | Batch 275/509 | d_loss: 0.4657 | g_loss: 4.3692 2023-06-03 22:29:45 | Epoch [19/50] | Batch 280/509 | d_loss: 0.3666 | g_loss: 3.3270 2023-06-03 22:29:47 | Epoch [19/50] | Batch 285/509 | d_loss: 0.4149 | g_loss: 4.7376 2023-06-03 22:29:49 | Epoch [19/50] | Batch 290/509 | d_loss: 0.4046 | g_loss: 4.3824 2023-06-03 22:29:50 | Epoch [19/50] | Batch 295/509 | d_loss: 0.3708 | g_loss: 4.9470 2023-06-03 22:29:52 | Epoch [19/50] | Batch 300/509 | d_loss: 0.4642 | g_loss: 3.3619 2023-06-03 22:29:53 | Epoch [19/50] | Batch 305/509 | d_loss: 0.4393 | g_loss: 3.6921 2023-06-03 22:29:55 | Epoch [19/50] | Batch 310/509 | d_loss: 1.0550 | g_loss: 6.5533 2023-06-03 22:29:57 | Epoch [19/50] | Batch 315/509 | d_loss: 0.5931 | g_loss: 5.1932 2023-06-03 22:29:58 | Epoch [19/50] | Batch 320/509 | d_loss: 0.4722 | g_loss: 3.4809 2023-06-03 22:30:00 | Epoch [19/50] | Batch 325/509 | d_loss: 0.8726 | g_loss: 6.8557 2023-06-03 22:30:02 | Epoch [19/50] | Batch 330/509 | d_loss: 0.4933 | g_loss: 3.7681 2023-06-03 22:30:03 | Epoch [19/50] | Batch 335/509 | d_loss: 0.4265 | g_loss: 4.1883 2023-06-03 22:30:05 | Epoch [19/50] | Batch 340/509 | d_loss: 0.4532 | g_loss: 4.2462 2023-06-03 22:30:07 | Epoch [19/50] | Batch 345/509 | d_loss: 0.7883 | g_loss: 5.6743 2023-06-03 22:30:08 | Epoch [19/50] | Batch 350/509 | d_loss: 0.4638 | g_loss: 3.7076 2023-06-03 22:30:10 | Epoch [19/50] | Batch 355/509 | d_loss: 0.5574 | g_loss: 4.7902 2023-06-03 22:30:12 | Epoch [19/50] | Batch 360/509 | d_loss: 0.3952 | g_loss: 3.9427 2023-06-03 22:30:13 | Epoch [19/50] | Batch 365/509 | d_loss: 0.4771 | g_loss: 4.9431 2023-06-03 22:30:15 | Epoch [19/50] | Batch 370/509 | d_loss: 0.4979 | g_loss: 3.8135 2023-06-03 22:30:16 | Epoch [19/50] | Batch 375/509 | d_loss: 0.3967 | g_loss: 3.9793 2023-06-03 22:30:18 | Epoch [19/50] | Batch 380/509 | d_loss: 0.3880 | g_loss: 2.9150 2023-06-03 22:30:20 | Epoch [19/50] | Batch 385/509 | d_loss: 0.3688 | g_loss: 4.7093 2023-06-03 22:30:21 | Epoch [19/50] | Batch 390/509 | d_loss: 0.3783 | g_loss: 4.4134 2023-06-03 22:30:23 | Epoch [19/50] | Batch 395/509 | d_loss: 0.3794 | g_loss: 4.8483 2023-06-03 22:30:25 | Epoch [19/50] | Batch 400/509 | d_loss: 0.3729 | g_loss: 4.7792 2023-06-03 22:30:26 | Epoch [19/50] | Batch 405/509 | d_loss: 0.4586 | g_loss: 4.4366 2023-06-03 22:30:28 | Epoch [19/50] | Batch 410/509 | d_loss: 0.4393 | g_loss: 3.6033 2023-06-03 22:30:30 | Epoch [19/50] | Batch 415/509 | d_loss: 0.3872 | g_loss: 4.1355 2023-06-03 22:30:31 | Epoch [19/50] | Batch 420/509 | d_loss: 0.3963 | g_loss: 4.5358 2023-06-03 22:30:33 | Epoch [19/50] | Batch 425/509 | d_loss: 0.5182 | g_loss: 5.4879 2023-06-03 22:30:34 | Epoch [19/50] | Batch 430/509 | d_loss: 0.3874 | g_loss: 3.3277 2023-06-03 22:30:36 | Epoch [19/50] | Batch 435/509 | d_loss: 0.4177 | g_loss: 3.5104 2023-06-03 22:30:38 | Epoch [19/50] | Batch 440/509 | d_loss: 0.3508 | g_loss: 5.6532 2023-06-03 22:30:39 | Epoch [19/50] | Batch 445/509 | d_loss: 0.3561 | g_loss: 4.9636 2023-06-03 22:30:41 | Epoch [19/50] | Batch 450/509 | d_loss: 0.4039 | g_loss: 3.5644 2023-06-03 22:30:43 | Epoch [19/50] | Batch 455/509 | d_loss: 0.3800 | g_loss: 4.1397 2023-06-03 22:30:44 | Epoch [19/50] | Batch 460/509 | d_loss: 0.7476 | g_loss: 1.9809 2023-06-03 22:30:46 | Epoch [19/50] | Batch 465/509 | d_loss: 0.4135 | g_loss: 4.5082 2023-06-03 22:30:48 | Epoch [19/50] | Batch 470/509 | d_loss: 0.3618 | g_loss: 4.8377 2023-06-03 22:30:49 | Epoch [19/50] | Batch 475/509 | d_loss: 0.3941 | g_loss: 4.1684 2023-06-03 22:30:51 | Epoch [19/50] | Batch 480/509 | d_loss: 0.3861 | g_loss: 5.3978 2023-06-03 22:30:53 | Epoch [19/50] | Batch 485/509 | d_loss: 0.3472 | g_loss: 5.3729 2023-06-03 22:30:54 | Epoch [19/50] | Batch 490/509 | d_loss: 0.5468 | g_loss: 4.7835 2023-06-03 22:30:56 | Epoch [19/50] | Batch 495/509 | d_loss: 0.4243 | g_loss: 4.4318 2023-06-03 22:30:57 | Epoch [19/50] | Batch 500/509 | d_loss: 0.4419 | g_loss: 3.7827 2023-06-03 22:30:59 | Epoch [19/50] | Batch 505/509 | d_loss: 0.4904 | g_loss: 5.5194
2023-06-03 22:31:02 | Epoch [20/50] | Batch 0/509 | d_loss: 0.3779 | g_loss: 4.2449 2023-06-03 22:31:03 | Epoch [20/50] | Batch 5/509 | d_loss: 0.3586 | g_loss: 4.4018 2023-06-03 22:31:05 | Epoch [20/50] | Batch 10/509 | d_loss: 0.3733 | g_loss: 3.7802 2023-06-03 22:31:07 | Epoch [20/50] | Batch 15/509 | d_loss: 0.3839 | g_loss: 4.0211 2023-06-03 22:31:08 | Epoch [20/50] | Batch 20/509 | d_loss: 0.3502 | g_loss: 4.7841 2023-06-03 22:31:10 | Epoch [20/50] | Batch 25/509 | d_loss: 0.4557 | g_loss: 6.0582 2023-06-03 22:31:11 | Epoch [20/50] | Batch 30/509 | d_loss: 0.3857 | g_loss: 3.2032 2023-06-03 22:31:13 | Epoch [20/50] | Batch 35/509 | d_loss: 0.4113 | g_loss: 4.2335 2023-06-03 22:31:15 | Epoch [20/50] | Batch 40/509 | d_loss: 0.3564 | g_loss: 5.1572 2023-06-03 22:31:16 | Epoch [20/50] | Batch 45/509 | d_loss: 0.3907 | g_loss: 3.5611 2023-06-03 22:31:18 | Epoch [20/50] | Batch 50/509 | d_loss: 0.3582 | g_loss: 5.0333 2023-06-03 22:31:20 | Epoch [20/50] | Batch 55/509 | d_loss: 0.4176 | g_loss: 4.4571 2023-06-03 22:31:21 | Epoch [20/50] | Batch 60/509 | d_loss: 0.4412 | g_loss: 2.9031 2023-06-03 22:31:23 | Epoch [20/50] | Batch 65/509 | d_loss: 0.4660 | g_loss: 4.7118 2023-06-03 22:31:25 | Epoch [20/50] | Batch 70/509 | d_loss: 0.4016 | g_loss: 4.1973 2023-06-03 22:31:26 | Epoch [20/50] | Batch 75/509 | d_loss: 0.3714 | g_loss: 4.7396 2023-06-03 22:31:28 | Epoch [20/50] | Batch 80/509 | d_loss: 0.3645 | g_loss: 4.8295 2023-06-03 22:31:30 | Epoch [20/50] | Batch 85/509 | d_loss: 0.8620 | g_loss: 5.8002 2023-06-03 22:31:31 | Epoch [20/50] | Batch 90/509 | d_loss: 0.3884 | g_loss: 3.8390 2023-06-03 22:31:33 | Epoch [20/50] | Batch 95/509 | d_loss: 0.4342 | g_loss: 5.0475 2023-06-03 22:31:34 | Epoch [20/50] | Batch 100/509 | d_loss: 0.3695 | g_loss: 5.6377 2023-06-03 22:31:36 | Epoch [20/50] | Batch 105/509 | d_loss: 0.3477 | g_loss: 6.7280 2023-06-03 22:31:38 | Epoch [20/50] | Batch 110/509 | d_loss: 0.3597 | g_loss: 3.4047 2023-06-03 22:31:39 | Epoch [20/50] | Batch 115/509 | d_loss: 0.3629 | g_loss: 4.9158 2023-06-03 22:31:41 | Epoch [20/50] | Batch 120/509 | d_loss: 0.3645 | g_loss: 6.4175 2023-06-03 22:31:43 | Epoch [20/50] | Batch 125/509 | d_loss: 0.5043 | g_loss: 3.5836 2023-06-03 22:31:44 | Epoch [20/50] | Batch 130/509 | d_loss: 0.7233 | g_loss: 1.3016 2023-06-03 22:31:46 | Epoch [20/50] | Batch 135/509 | d_loss: 0.4168 | g_loss: 4.0162 2023-06-03 22:31:48 | Epoch [20/50] | Batch 140/509 | d_loss: 0.3853 | g_loss: 5.3723 2023-06-03 22:31:49 | Epoch [20/50] | Batch 145/509 | d_loss: 0.4204 | g_loss: 3.6050 2023-06-03 22:31:51 | Epoch [20/50] | Batch 150/509 | d_loss: 0.3968 | g_loss: 4.4605 2023-06-03 22:31:53 | Epoch [20/50] | Batch 155/509 | d_loss: 0.4520 | g_loss: 2.3038 2023-06-03 22:31:54 | Epoch [20/50] | Batch 160/509 | d_loss: 0.3757 | g_loss: 4.7490 2023-06-03 22:31:56 | Epoch [20/50] | Batch 165/509 | d_loss: 0.3520 | g_loss: 6.5315 2023-06-03 22:31:57 | Epoch [20/50] | Batch 170/509 | d_loss: 0.3843 | g_loss: 3.9077 2023-06-03 22:31:59 | Epoch [20/50] | Batch 175/509 | d_loss: 0.4972 | g_loss: 4.7332 2023-06-03 22:32:01 | Epoch [20/50] | Batch 180/509 | d_loss: 0.3855 | g_loss: 4.5998 2023-06-03 22:32:02 | Epoch [20/50] | Batch 185/509 | d_loss: 0.4056 | g_loss: 2.8852 2023-06-03 22:32:04 | Epoch [20/50] | Batch 190/509 | d_loss: 0.4055 | g_loss: 3.2292 2023-06-03 22:32:06 | Epoch [20/50] | Batch 195/509 | d_loss: 0.3947 | g_loss: 5.0635 2023-06-03 22:32:07 | Epoch [20/50] | Batch 200/509 | d_loss: 0.4321 | g_loss: 3.8404 2023-06-03 22:32:09 | Epoch [20/50] | Batch 205/509 | d_loss: 0.3929 | g_loss: 3.8867 2023-06-03 22:32:11 | Epoch [20/50] | Batch 210/509 | d_loss: 0.3518 | g_loss: 4.8768 2023-06-03 22:32:12 | Epoch [20/50] | Batch 215/509 | d_loss: 0.3574 | g_loss: 4.7406 2023-06-03 22:32:14 | Epoch [20/50] | Batch 220/509 | d_loss: 0.3619 | g_loss: 5.1136 2023-06-03 22:32:16 | Epoch [20/50] | Batch 225/509 | d_loss: 0.3964 | g_loss: 4.1403 2023-06-03 22:32:17 | Epoch [20/50] | Batch 230/509 | d_loss: 0.3614 | g_loss: 5.1160 2023-06-03 22:32:19 | Epoch [20/50] | Batch 235/509 | d_loss: 0.3774 | g_loss: 3.7360 2023-06-03 22:32:21 | Epoch [20/50] | Batch 240/509 | d_loss: 0.3695 | g_loss: 4.6115 2023-06-03 22:32:22 | Epoch [20/50] | Batch 245/509 | d_loss: 0.6811 | g_loss: 2.4346 2023-06-03 22:32:24 | Epoch [20/50] | Batch 250/509 | d_loss: 0.3846 | g_loss: 3.2821 2023-06-03 22:32:25 | Epoch [20/50] | Batch 255/509 | d_loss: 0.3443 | g_loss: 5.9203 2023-06-03 22:32:27 | Epoch [20/50] | Batch 260/509 | d_loss: 0.5726 | g_loss: 4.8768 2023-06-03 22:32:29 | Epoch [20/50] | Batch 265/509 | d_loss: 0.3924 | g_loss: 4.8441 2023-06-03 22:32:30 | Epoch [20/50] | Batch 270/509 | d_loss: 0.4970 | g_loss: 3.9081 2023-06-03 22:32:32 | Epoch [20/50] | Batch 275/509 | d_loss: 0.4073 | g_loss: 4.1479 2023-06-03 22:32:34 | Epoch [20/50] | Batch 280/509 | d_loss: 0.3858 | g_loss: 4.6965 2023-06-03 22:32:35 | Epoch [20/50] | Batch 285/509 | d_loss: 0.3518 | g_loss: 4.9034 2023-06-03 22:32:37 | Epoch [20/50] | Batch 290/509 | d_loss: 0.3615 | g_loss: 5.3616 2023-06-03 22:32:39 | Epoch [20/50] | Batch 295/509 | d_loss: 0.3755 | g_loss: 3.0273 2023-06-03 22:32:40 | Epoch [20/50] | Batch 300/509 | d_loss: 0.4108 | g_loss: 5.8040 2023-06-03 22:32:42 | Epoch [20/50] | Batch 305/509 | d_loss: 0.3483 | g_loss: 5.4404 2023-06-03 22:32:44 | Epoch [20/50] | Batch 310/509 | d_loss: 0.3970 | g_loss: 4.8340 2023-06-03 22:32:45 | Epoch [20/50] | Batch 315/509 | d_loss: 0.3686 | g_loss: 4.2859 2023-06-03 22:32:47 | Epoch [20/50] | Batch 320/509 | d_loss: 0.3816 | g_loss: 5.5502 2023-06-03 22:32:48 | Epoch [20/50] | Batch 325/509 | d_loss: 0.3593 | g_loss: 4.2998 2023-06-03 22:32:50 | Epoch [20/50] | Batch 330/509 | d_loss: 0.4057 | g_loss: 4.5563 2023-06-03 22:32:52 | Epoch [20/50] | Batch 335/509 | d_loss: 0.3628 | g_loss: 5.3557 2023-06-03 22:32:53 | Epoch [20/50] | Batch 340/509 | d_loss: 0.3836 | g_loss: 4.7391 2023-06-03 22:32:55 | Epoch [20/50] | Batch 345/509 | d_loss: 0.3651 | g_loss: 4.7034 2023-06-03 22:32:57 | Epoch [20/50] | Batch 350/509 | d_loss: 0.3518 | g_loss: 5.5611 2023-06-03 22:32:58 | Epoch [20/50] | Batch 355/509 | d_loss: 0.4224 | g_loss: 5.5071 2023-06-03 22:33:00 | Epoch [20/50] | Batch 360/509 | d_loss: 0.3457 | g_loss: 4.8698 2023-06-03 22:33:02 | Epoch [20/50] | Batch 365/509 | d_loss: 0.3526 | g_loss: 6.1994 2023-06-03 22:33:03 | Epoch [20/50] | Batch 370/509 | d_loss: 0.4045 | g_loss: 4.5169 2023-06-03 22:33:05 | Epoch [20/50] | Batch 375/509 | d_loss: 0.3659 | g_loss: 5.8966 2023-06-03 22:33:06 | Epoch [20/50] | Batch 380/509 | d_loss: 0.5746 | g_loss: 3.4054 2023-06-03 22:33:08 | Epoch [20/50] | Batch 385/509 | d_loss: 3.5577 | g_loss: 9.2468 2023-06-03 22:33:10 | Epoch [20/50] | Batch 390/509 | d_loss: 0.4914 | g_loss: 3.5093 2023-06-03 22:33:11 | Epoch [20/50] | Batch 395/509 | d_loss: 0.4816 | g_loss: 2.8744 2023-06-03 22:33:13 | Epoch [20/50] | Batch 400/509 | d_loss: 0.6689 | g_loss: 2.7353 2023-06-03 22:33:15 | Epoch [20/50] | Batch 405/509 | d_loss: 0.5473 | g_loss: 3.0802 2023-06-03 22:33:16 | Epoch [20/50] | Batch 410/509 | d_loss: 0.6738 | g_loss: 2.5290 2023-06-03 22:33:18 | Epoch [20/50] | Batch 415/509 | d_loss: 0.7374 | g_loss: 4.3942 2023-06-03 22:33:20 | Epoch [20/50] | Batch 420/509 | d_loss: 0.4617 | g_loss: 2.8129 2023-06-03 22:33:21 | Epoch [20/50] | Batch 425/509 | d_loss: 0.6868 | g_loss: 4.6123 2023-06-03 22:33:23 | Epoch [20/50] | Batch 430/509 | d_loss: 0.5718 | g_loss: 3.7783 2023-06-03 22:33:24 | Epoch [20/50] | Batch 435/509 | d_loss: 0.4793 | g_loss: 2.6096 2023-06-03 22:33:26 | Epoch [20/50] | Batch 440/509 | d_loss: 0.4774 | g_loss: 2.9980 2023-06-03 22:33:28 | Epoch [20/50] | Batch 445/509 | d_loss: 0.7890 | g_loss: 5.2079 2023-06-03 22:33:29 | Epoch [20/50] | Batch 450/509 | d_loss: 0.4608 | g_loss: 2.9763 2023-06-03 22:33:31 | Epoch [20/50] | Batch 455/509 | d_loss: 0.5840 | g_loss: 4.6364 2023-06-03 22:33:33 | Epoch [20/50] | Batch 460/509 | d_loss: 0.7325 | g_loss: 2.8027 2023-06-03 22:33:34 | Epoch [20/50] | Batch 465/509 | d_loss: 0.4548 | g_loss: 3.5395 2023-06-03 22:33:36 | Epoch [20/50] | Batch 470/509 | d_loss: 0.5068 | g_loss: 3.3689 2023-06-03 22:33:38 | Epoch [20/50] | Batch 475/509 | d_loss: 0.4444 | g_loss: 3.7817 2023-06-03 22:33:39 | Epoch [20/50] | Batch 480/509 | d_loss: 0.4239 | g_loss: 3.1007 2023-06-03 22:33:41 | Epoch [20/50] | Batch 485/509 | d_loss: 0.4423 | g_loss: 4.2038 2023-06-03 22:33:42 | Epoch [20/50] | Batch 490/509 | d_loss: 0.4324 | g_loss: 2.8818 2023-06-03 22:33:44 | Epoch [20/50] | Batch 495/509 | d_loss: 0.4164 | g_loss: 3.3102 2023-06-03 22:33:46 | Epoch [20/50] | Batch 500/509 | d_loss: 0.7664 | g_loss: 6.9482 2023-06-03 22:33:47 | Epoch [20/50] | Batch 505/509 | d_loss: 1.1558 | g_loss: 2.6871
2023-06-03 22:33:50 | Epoch [21/50] | Batch 0/509 | d_loss: 0.9198 | g_loss: 4.3508 2023-06-03 22:33:51 | Epoch [21/50] | Batch 5/509 | d_loss: 0.6610 | g_loss: 4.3705 2023-06-03 22:33:53 | Epoch [21/50] | Batch 10/509 | d_loss: 0.9781 | g_loss: 4.9217 2023-06-03 22:33:55 | Epoch [21/50] | Batch 15/509 | d_loss: 0.4872 | g_loss: 3.1746 2023-06-03 22:33:56 | Epoch [21/50] | Batch 20/509 | d_loss: 0.4049 | g_loss: 3.9503 2023-06-03 22:33:58 | Epoch [21/50] | Batch 25/509 | d_loss: 0.5723 | g_loss: 4.2597 2023-06-03 22:34:00 | Epoch [21/50] | Batch 30/509 | d_loss: 0.4449 | g_loss: 2.5668 2023-06-03 22:34:01 | Epoch [21/50] | Batch 35/509 | d_loss: 0.4339 | g_loss: 3.3884 2023-06-03 22:34:03 | Epoch [21/50] | Batch 40/509 | d_loss: 0.4511 | g_loss: 3.1379 2023-06-03 22:34:05 | Epoch [21/50] | Batch 45/509 | d_loss: 0.3848 | g_loss: 3.9491 2023-06-03 22:34:06 | Epoch [21/50] | Batch 50/509 | d_loss: 0.4306 | g_loss: 3.4314 2023-06-03 22:34:08 | Epoch [21/50] | Batch 55/509 | d_loss: 0.4005 | g_loss: 4.7228 2023-06-03 22:34:10 | Epoch [21/50] | Batch 60/509 | d_loss: 0.3776 | g_loss: 4.4042 2023-06-03 22:34:11 | Epoch [21/50] | Batch 65/509 | d_loss: 0.4124 | g_loss: 4.3352 2023-06-03 22:34:13 | Epoch [21/50] | Batch 70/509 | d_loss: 0.3916 | g_loss: 3.8152 2023-06-03 22:34:14 | Epoch [21/50] | Batch 75/509 | d_loss: 0.3667 | g_loss: 4.5597 2023-06-03 22:34:16 | Epoch [21/50] | Batch 80/509 | d_loss: 0.4261 | g_loss: 4.1067 2023-06-03 22:34:18 | Epoch [21/50] | Batch 85/509 | d_loss: 0.4821 | g_loss: 2.8196 2023-06-03 22:34:19 | Epoch [21/50] | Batch 90/509 | d_loss: 0.3923 | g_loss: 3.8775 2023-06-03 22:34:21 | Epoch [21/50] | Batch 95/509 | d_loss: 0.4060 | g_loss: 4.4813 2023-06-03 22:34:23 | Epoch [21/50] | Batch 100/509 | d_loss: 0.3871 | g_loss: 3.7543 2023-06-03 22:34:24 | Epoch [21/50] | Batch 105/509 | d_loss: 0.5238 | g_loss: 4.9324 2023-06-03 22:34:26 | Epoch [21/50] | Batch 110/509 | d_loss: 0.7510 | g_loss: 5.9957 2023-06-03 22:34:28 | Epoch [21/50] | Batch 115/509 | d_loss: 0.4456 | g_loss: 3.9746 2023-06-03 22:34:29 | Epoch [21/50] | Batch 120/509 | d_loss: 0.4691 | g_loss: 3.5149 2023-06-03 22:34:31 | Epoch [21/50] | Batch 125/509 | d_loss: 0.3936 | g_loss: 3.0831 2023-06-03 22:34:33 | Epoch [21/50] | Batch 130/509 | d_loss: 0.4005 | g_loss: 4.0303 2023-06-03 22:34:34 | Epoch [21/50] | Batch 135/509 | d_loss: 0.8864 | g_loss: 0.6437 2023-06-03 22:34:36 | Epoch [21/50] | Batch 140/509 | d_loss: 0.5815 | g_loss: 5.9257 2023-06-03 22:34:37 | Epoch [21/50] | Batch 145/509 | d_loss: 0.4777 | g_loss: 3.2670 2023-06-03 22:34:39 | Epoch [21/50] | Batch 150/509 | d_loss: 0.4132 | g_loss: 4.1094 2023-06-03 22:34:41 | Epoch [21/50] | Batch 155/509 | d_loss: 0.4716 | g_loss: 4.3658 2023-06-03 22:34:42 | Epoch [21/50] | Batch 160/509 | d_loss: 0.3757 | g_loss: 3.9834 2023-06-03 22:34:44 | Epoch [21/50] | Batch 165/509 | d_loss: 0.4049 | g_loss: 4.3282 2023-06-03 22:34:46 | Epoch [21/50] | Batch 170/509 | d_loss: 0.4084 | g_loss: 4.2835 2023-06-03 22:34:47 | Epoch [21/50] | Batch 175/509 | d_loss: 0.3600 | g_loss: 6.2304 2023-06-03 22:34:49 | Epoch [21/50] | Batch 180/509 | d_loss: 0.3777 | g_loss: 5.0860 2023-06-03 22:34:51 | Epoch [21/50] | Batch 185/509 | d_loss: 0.4330 | g_loss: 5.0452 2023-06-03 22:34:52 | Epoch [21/50] | Batch 190/509 | d_loss: 0.3888 | g_loss: 3.9249 2023-06-03 22:34:54 | Epoch [21/50] | Batch 195/509 | d_loss: 0.4458 | g_loss: 2.7371 2023-06-03 22:34:55 | Epoch [21/50] | Batch 200/509 | d_loss: 0.4236 | g_loss: 4.7392 2023-06-03 22:34:57 | Epoch [21/50] | Batch 205/509 | d_loss: 0.3862 | g_loss: 3.5163 2023-06-03 22:34:59 | Epoch [21/50] | Batch 210/509 | d_loss: 0.3937 | g_loss: 3.6687 2023-06-03 22:35:00 | Epoch [21/50] | Batch 215/509 | d_loss: 0.4391 | g_loss: 4.4962 2023-06-03 22:35:02 | Epoch [21/50] | Batch 220/509 | d_loss: 0.5817 | g_loss: 5.1436 2023-06-03 22:35:04 | Epoch [21/50] | Batch 225/509 | d_loss: 0.4090 | g_loss: 3.7657 2023-06-03 22:35:05 | Epoch [21/50] | Batch 230/509 | d_loss: 0.3802 | g_loss: 3.8339 2023-06-03 22:35:07 | Epoch [21/50] | Batch 235/509 | d_loss: 0.4088 | g_loss: 2.7284 2023-06-03 22:35:09 | Epoch [21/50] | Batch 240/509 | d_loss: 0.3522 | g_loss: 4.6501 2023-06-03 22:35:10 | Epoch [21/50] | Batch 245/509 | d_loss: 0.3987 | g_loss: 4.4024 2023-06-03 22:35:12 | Epoch [21/50] | Batch 250/509 | d_loss: 0.3541 | g_loss: 5.1463 2023-06-03 22:35:13 | Epoch [21/50] | Batch 255/509 | d_loss: 0.5177 | g_loss: 3.3804 2023-06-03 22:35:15 | Epoch [21/50] | Batch 260/509 | d_loss: 1.1708 | g_loss: 0.8696 2023-06-03 22:35:17 | Epoch [21/50] | Batch 265/509 | d_loss: 0.4444 | g_loss: 3.8101 2023-06-03 22:35:18 | Epoch [21/50] | Batch 270/509 | d_loss: 0.6292 | g_loss: 4.7488 2023-06-03 22:35:20 | Epoch [21/50] | Batch 275/509 | d_loss: 0.3964 | g_loss: 3.5849 2023-06-03 22:35:22 | Epoch [21/50] | Batch 280/509 | d_loss: 0.3875 | g_loss: 3.6631 2023-06-03 22:35:23 | Epoch [21/50] | Batch 285/509 | d_loss: 0.4268 | g_loss: 5.4348 2023-06-03 22:35:25 | Epoch [21/50] | Batch 290/509 | d_loss: 0.3623 | g_loss: 5.1092 2023-06-03 22:35:27 | Epoch [21/50] | Batch 295/509 | d_loss: 0.3764 | g_loss: 4.8166 2023-06-03 22:35:28 | Epoch [21/50] | Batch 300/509 | d_loss: 0.3507 | g_loss: 7.1912 2023-06-03 22:35:30 | Epoch [21/50] | Batch 305/509 | d_loss: 0.4083 | g_loss: 4.9439 2023-06-03 22:35:32 | Epoch [21/50] | Batch 310/509 | d_loss: 0.3787 | g_loss: 3.4465 2023-06-03 22:35:33 | Epoch [21/50] | Batch 315/509 | d_loss: 0.5156 | g_loss: 4.3368 2023-06-03 22:35:35 | Epoch [21/50] | Batch 320/509 | d_loss: 0.3721 | g_loss: 5.5422 2023-06-03 22:35:36 | Epoch [21/50] | Batch 325/509 | d_loss: 0.4538 | g_loss: 3.8384 2023-06-03 22:35:38 | Epoch [21/50] | Batch 330/509 | d_loss: 0.3840 | g_loss: 4.6471 2023-06-03 22:35:40 | Epoch [21/50] | Batch 335/509 | d_loss: 0.4248 | g_loss: 4.7332 2023-06-03 22:35:41 | Epoch [21/50] | Batch 340/509 | d_loss: 0.4179 | g_loss: 4.6976 2023-06-03 22:35:43 | Epoch [21/50] | Batch 345/509 | d_loss: 0.4531 | g_loss: 3.3940 2023-06-03 22:35:45 | Epoch [21/50] | Batch 350/509 | d_loss: 0.3747 | g_loss: 4.4534 2023-06-03 22:35:46 | Epoch [21/50] | Batch 355/509 | d_loss: 0.4019 | g_loss: 3.3913 2023-06-03 22:35:48 | Epoch [21/50] | Batch 360/509 | d_loss: 0.3579 | g_loss: 5.7480 2023-06-03 22:35:50 | Epoch [21/50] | Batch 365/509 | d_loss: 0.4100 | g_loss: 3.4528 2023-06-03 22:35:51 | Epoch [21/50] | Batch 370/509 | d_loss: 0.3629 | g_loss: 5.2471 2023-06-03 22:35:53 | Epoch [21/50] | Batch 375/509 | d_loss: 0.3564 | g_loss: 5.1095 2023-06-03 22:35:54 | Epoch [21/50] | Batch 380/509 | d_loss: 0.5842 | g_loss: 4.1196 2023-06-03 22:35:56 | Epoch [21/50] | Batch 385/509 | d_loss: 1.2228 | g_loss: 5.5226 2023-06-03 22:35:58 | Epoch [21/50] | Batch 390/509 | d_loss: 0.4477 | g_loss: 4.1387 2023-06-03 22:35:59 | Epoch [21/50] | Batch 395/509 | d_loss: 0.3810 | g_loss: 4.3250 2023-06-03 22:36:01 | Epoch [21/50] | Batch 400/509 | d_loss: 0.3801 | g_loss: 4.1832 2023-06-03 22:36:03 | Epoch [21/50] | Batch 405/509 | d_loss: 0.4244 | g_loss: 3.4843 2023-06-03 22:36:04 | Epoch [21/50] | Batch 410/509 | d_loss: 0.4871 | g_loss: 3.9192 2023-06-03 22:36:06 | Epoch [21/50] | Batch 415/509 | d_loss: 0.3741 | g_loss: 4.5432 2023-06-03 22:36:08 | Epoch [21/50] | Batch 420/509 | d_loss: 0.5252 | g_loss: 2.2340 2023-06-03 22:36:09 | Epoch [21/50] | Batch 425/509 | d_loss: 0.3775 | g_loss: 4.4772 2023-06-03 22:36:11 | Epoch [21/50] | Batch 430/509 | d_loss: 0.4283 | g_loss: 2.9283 2023-06-03 22:36:13 | Epoch [21/50] | Batch 435/509 | d_loss: 0.4365 | g_loss: 3.8289 2023-06-03 22:36:14 | Epoch [21/50] | Batch 440/509 | d_loss: 0.3958 | g_loss: 5.2498 2023-06-03 22:36:16 | Epoch [21/50] | Batch 445/509 | d_loss: 0.3838 | g_loss: 3.7479 2023-06-03 22:36:17 | Epoch [21/50] | Batch 450/509 | d_loss: 0.4905 | g_loss: 4.3593 2023-06-03 22:36:19 | Epoch [21/50] | Batch 455/509 | d_loss: 0.4059 | g_loss: 4.7970 2023-06-03 22:36:21 | Epoch [21/50] | Batch 460/509 | d_loss: 0.4059 | g_loss: 3.8808 2023-06-03 22:36:22 | Epoch [21/50] | Batch 465/509 | d_loss: 0.3921 | g_loss: 3.5722 2023-06-03 22:36:24 | Epoch [21/50] | Batch 470/509 | d_loss: 0.3871 | g_loss: 4.6952 2023-06-03 22:36:26 | Epoch [21/50] | Batch 475/509 | d_loss: 0.3816 | g_loss: 4.6333 2023-06-03 22:36:27 | Epoch [21/50] | Batch 480/509 | d_loss: 0.3591 | g_loss: 6.0509 2023-06-03 22:36:29 | Epoch [21/50] | Batch 485/509 | d_loss: 0.4182 | g_loss: 5.4056 2023-06-03 22:36:31 | Epoch [21/50] | Batch 490/509 | d_loss: 0.4655 | g_loss: 3.0367 2023-06-03 22:36:32 | Epoch [21/50] | Batch 495/509 | d_loss: 0.4845 | g_loss: 4.2482 2023-06-03 22:36:34 | Epoch [21/50] | Batch 500/509 | d_loss: 0.4175 | g_loss: 4.2377 2023-06-03 22:36:35 | Epoch [21/50] | Batch 505/509 | d_loss: 0.3987 | g_loss: 4.7050
2023-06-03 22:36:38 | Epoch [22/50] | Batch 0/509 | d_loss: 0.4363 | g_loss: 6.0325 2023-06-03 22:36:40 | Epoch [22/50] | Batch 5/509 | d_loss: 0.3658 | g_loss: 4.4481 2023-06-03 22:36:41 | Epoch [22/50] | Batch 10/509 | d_loss: 0.3530 | g_loss: 5.2519 2023-06-03 22:36:43 | Epoch [22/50] | Batch 15/509 | d_loss: 0.3637 | g_loss: 3.4063 2023-06-03 22:36:45 | Epoch [22/50] | Batch 20/509 | d_loss: 0.3487 | g_loss: 7.1607 2023-06-03 22:36:46 | Epoch [22/50] | Batch 25/509 | d_loss: 0.3577 | g_loss: 5.5563 2023-06-03 22:36:48 | Epoch [22/50] | Batch 30/509 | d_loss: 0.3582 | g_loss: 8.2825 2023-06-03 22:36:50 | Epoch [22/50] | Batch 35/509 | d_loss: 0.5363 | g_loss: 3.4431 2023-06-03 22:36:51 | Epoch [22/50] | Batch 40/509 | d_loss: 0.7558 | g_loss: 4.1178 2023-06-03 22:36:53 | Epoch [22/50] | Batch 45/509 | d_loss: 0.5126 | g_loss: 2.4543 2023-06-03 22:36:54 | Epoch [22/50] | Batch 50/509 | d_loss: 0.3955 | g_loss: 5.0676 2023-06-03 22:36:56 | Epoch [22/50] | Batch 55/509 | d_loss: 0.5886 | g_loss: 4.9358 2023-06-03 22:36:58 | Epoch [22/50] | Batch 60/509 | d_loss: 0.6739 | g_loss: 5.0329 2023-06-03 22:36:59 | Epoch [22/50] | Batch 65/509 | d_loss: 0.3773 | g_loss: 3.8490 2023-06-03 22:37:01 | Epoch [22/50] | Batch 70/509 | d_loss: 0.4584 | g_loss: 3.9628 2023-06-03 22:37:03 | Epoch [22/50] | Batch 75/509 | d_loss: 0.4194 | g_loss: 6.0805 2023-06-03 22:37:04 | Epoch [22/50] | Batch 80/509 | d_loss: 0.4461 | g_loss: 2.4828 2023-06-03 22:37:06 | Epoch [22/50] | Batch 85/509 | d_loss: 0.3547 | g_loss: 4.0144 2023-06-03 22:37:08 | Epoch [22/50] | Batch 90/509 | d_loss: 1.3560 | g_loss: 3.6401 2023-06-03 22:37:09 | Epoch [22/50] | Batch 95/509 | d_loss: 0.9515 | g_loss: 2.7325 2023-06-03 22:37:11 | Epoch [22/50] | Batch 100/509 | d_loss: 0.4095 | g_loss: 4.1439 2023-06-03 22:37:12 | Epoch [22/50] | Batch 105/509 | d_loss: 0.4278 | g_loss: 3.5562 2023-06-03 22:37:14 | Epoch [22/50] | Batch 110/509 | d_loss: 0.4182 | g_loss: 4.6978 2023-06-03 22:37:16 | Epoch [22/50] | Batch 115/509 | d_loss: 0.4630 | g_loss: 4.5271 2023-06-03 22:37:17 | Epoch [22/50] | Batch 120/509 | d_loss: 0.4791 | g_loss: 3.2829 2023-06-03 22:37:19 | Epoch [22/50] | Batch 125/509 | d_loss: 0.3995 | g_loss: 3.4309 2023-06-03 22:37:21 | Epoch [22/50] | Batch 130/509 | d_loss: 0.5207 | g_loss: 2.5700 2023-06-03 22:37:22 | Epoch [22/50] | Batch 135/509 | d_loss: 0.3844 | g_loss: 4.7229 2023-06-03 22:37:24 | Epoch [22/50] | Batch 140/509 | d_loss: 0.4113 | g_loss: 3.0352 2023-06-03 22:37:26 | Epoch [22/50] | Batch 145/509 | d_loss: 0.4385 | g_loss: 4.6350 2023-06-03 22:37:27 | Epoch [22/50] | Batch 150/509 | d_loss: 0.3711 | g_loss: 4.7685 2023-06-03 22:37:29 | Epoch [22/50] | Batch 155/509 | d_loss: 0.3513 | g_loss: 4.9721 2023-06-03 22:37:30 | Epoch [22/50] | Batch 160/509 | d_loss: 1.2073 | g_loss: 2.8289 2023-06-03 22:37:32 | Epoch [22/50] | Batch 165/509 | d_loss: 0.5589 | g_loss: 1.6018 2023-06-03 22:37:34 | Epoch [22/50] | Batch 170/509 | d_loss: 0.4322 | g_loss: 3.5902 2023-06-03 22:37:35 | Epoch [22/50] | Batch 175/509 | d_loss: 0.6898 | g_loss: 2.3885 2023-06-03 22:37:37 | Epoch [22/50] | Batch 180/509 | d_loss: 0.4060 | g_loss: 4.4036 2023-06-03 22:37:39 | Epoch [22/50] | Batch 185/509 | d_loss: 0.5181 | g_loss: 3.4882 2023-06-03 22:37:40 | Epoch [22/50] | Batch 190/509 | d_loss: 1.1784 | g_loss: 2.5034 2023-06-03 22:37:42 | Epoch [22/50] | Batch 195/509 | d_loss: 0.9911 | g_loss: 1.9103 2023-06-03 22:37:44 | Epoch [22/50] | Batch 200/509 | d_loss: 0.4761 | g_loss: 3.5965 2023-06-03 22:37:45 | Epoch [22/50] | Batch 205/509 | d_loss: 0.5881 | g_loss: 2.8906 2023-06-03 22:37:47 | Epoch [22/50] | Batch 210/509 | d_loss: 0.4798 | g_loss: 4.1718 2023-06-03 22:37:49 | Epoch [22/50] | Batch 215/509 | d_loss: 0.9637 | g_loss: 4.1008 2023-06-03 22:37:50 | Epoch [22/50] | Batch 220/509 | d_loss: 0.3712 | g_loss: 6.0898 2023-06-03 22:37:52 | Epoch [22/50] | Batch 225/509 | d_loss: 1.0979 | g_loss: 3.8885 2023-06-03 22:37:53 | Epoch [22/50] | Batch 230/509 | d_loss: 0.5571 | g_loss: 2.4898 2023-06-03 22:37:55 | Epoch [22/50] | Batch 235/509 | d_loss: 0.5749 | g_loss: 2.1745 2023-06-03 22:37:57 | Epoch [22/50] | Batch 240/509 | d_loss: 0.4426 | g_loss: 3.5762 2023-06-03 22:37:58 | Epoch [22/50] | Batch 245/509 | d_loss: 0.4775 | g_loss: 3.4923 2023-06-03 22:38:00 | Epoch [22/50] | Batch 250/509 | d_loss: 0.5549 | g_loss: 3.9748 2023-06-03 22:38:02 | Epoch [22/50] | Batch 255/509 | d_loss: 0.4512 | g_loss: 3.6736 2023-06-03 22:38:03 | Epoch [22/50] | Batch 260/509 | d_loss: 0.4520 | g_loss: 3.4562 2023-06-03 22:38:05 | Epoch [22/50] | Batch 265/509 | d_loss: 0.3752 | g_loss: 5.1664 2023-06-03 22:38:07 | Epoch [22/50] | Batch 270/509 | d_loss: 0.4473 | g_loss: 3.9245 2023-06-03 22:38:08 | Epoch [22/50] | Batch 275/509 | d_loss: 0.3743 | g_loss: 4.0657 2023-06-03 22:38:10 | Epoch [22/50] | Batch 280/509 | d_loss: 0.4147 | g_loss: 3.4817 2023-06-03 22:38:11 | Epoch [22/50] | Batch 285/509 | d_loss: 0.4008 | g_loss: 4.0212 2023-06-03 22:38:13 | Epoch [22/50] | Batch 290/509 | d_loss: 0.7409 | g_loss: 4.3797 2023-06-03 22:38:15 | Epoch [22/50] | Batch 295/509 | d_loss: 0.4170 | g_loss: 3.1467 2023-06-03 22:38:16 | Epoch [22/50] | Batch 300/509 | d_loss: 0.4642 | g_loss: 4.4857 2023-06-03 22:38:18 | Epoch [22/50] | Batch 305/509 | d_loss: 0.4244 | g_loss: 3.1709 2023-06-03 22:38:20 | Epoch [22/50] | Batch 310/509 | d_loss: 0.4245 | g_loss: 3.2709 2023-06-03 22:38:21 | Epoch [22/50] | Batch 315/509 | d_loss: 0.3709 | g_loss: 4.2320 2023-06-03 22:38:23 | Epoch [22/50] | Batch 320/509 | d_loss: 1.1731 | g_loss: 4.2696 2023-06-03 22:38:25 | Epoch [22/50] | Batch 325/509 | d_loss: 0.4395 | g_loss: 3.7836 2023-06-03 22:38:26 | Epoch [22/50] | Batch 330/509 | d_loss: 0.4371 | g_loss: 3.6043 2023-06-03 22:38:28 | Epoch [22/50] | Batch 335/509 | d_loss: 0.4576 | g_loss: 3.8943 2023-06-03 22:38:30 | Epoch [22/50] | Batch 340/509 | d_loss: 1.4084 | g_loss: 9.6484 2023-06-03 22:38:31 | Epoch [22/50] | Batch 345/509 | d_loss: 1.2351 | g_loss: 4.7810 2023-06-03 22:38:33 | Epoch [22/50] | Batch 350/509 | d_loss: 0.4856 | g_loss: 3.1860 2023-06-03 22:38:34 | Epoch [22/50] | Batch 355/509 | d_loss: 0.4828 | g_loss: 3.8357 2023-06-03 22:38:36 | Epoch [22/50] | Batch 360/509 | d_loss: 0.8610 | g_loss: 6.2216 2023-06-03 22:38:38 | Epoch [22/50] | Batch 365/509 | d_loss: 0.5173 | g_loss: 3.3807 2023-06-03 22:38:39 | Epoch [22/50] | Batch 370/509 | d_loss: 0.4673 | g_loss: 3.6667 2023-06-03 22:38:41 | Epoch [22/50] | Batch 375/509 | d_loss: 0.5810 | g_loss: 2.7363 2023-06-03 22:38:43 | Epoch [22/50] | Batch 380/509 | d_loss: 0.4169 | g_loss: 2.6727 2023-06-03 22:38:44 | Epoch [22/50] | Batch 385/509 | d_loss: 0.4185 | g_loss: 4.0492 2023-06-03 22:38:46 | Epoch [22/50] | Batch 390/509 | d_loss: 0.4086 | g_loss: 4.1218 2023-06-03 22:38:48 | Epoch [22/50] | Batch 395/509 | d_loss: 0.3787 | g_loss: 5.2052 2023-06-03 22:38:49 | Epoch [22/50] | Batch 400/509 | d_loss: 0.5220 | g_loss: 4.1182 2023-06-03 22:38:51 | Epoch [22/50] | Batch 405/509 | d_loss: 0.4735 | g_loss: 3.0407 2023-06-03 22:38:52 | Epoch [22/50] | Batch 410/509 | d_loss: 0.4055 | g_loss: 3.9847 2023-06-03 22:38:54 | Epoch [22/50] | Batch 415/509 | d_loss: 0.5568 | g_loss: 2.9773 2023-06-03 22:38:56 | Epoch [22/50] | Batch 420/509 | d_loss: 0.4428 | g_loss: 2.6401 2023-06-03 22:38:57 | Epoch [22/50] | Batch 425/509 | d_loss: 0.4630 | g_loss: 3.9733 2023-06-03 22:38:59 | Epoch [22/50] | Batch 430/509 | d_loss: 0.4405 | g_loss: 3.2712 2023-06-03 22:39:01 | Epoch [22/50] | Batch 435/509 | d_loss: 0.4539 | g_loss: 4.8057 2023-06-03 22:39:02 | Epoch [22/50] | Batch 440/509 | d_loss: 0.3868 | g_loss: 3.8076 2023-06-03 22:39:04 | Epoch [22/50] | Batch 445/509 | d_loss: 0.6307 | g_loss: 1.9651 2023-06-03 22:39:06 | Epoch [22/50] | Batch 450/509 | d_loss: 0.4291 | g_loss: 3.9155 2023-06-03 22:39:07 | Epoch [22/50] | Batch 455/509 | d_loss: 0.5257 | g_loss: 2.7668 2023-06-03 22:39:09 | Epoch [22/50] | Batch 460/509 | d_loss: 0.4245 | g_loss: 4.6011 2023-06-03 22:39:10 | Epoch [22/50] | Batch 465/509 | d_loss: 0.3804 | g_loss: 3.2135 2023-06-03 22:39:12 | Epoch [22/50] | Batch 470/509 | d_loss: 0.3578 | g_loss: 4.0988 2023-06-03 22:39:14 | Epoch [22/50] | Batch 475/509 | d_loss: 0.6973 | g_loss: 1.9939 2023-06-03 22:39:15 | Epoch [22/50] | Batch 480/509 | d_loss: 0.3809 | g_loss: 5.0160 2023-06-03 22:39:17 | Epoch [22/50] | Batch 485/509 | d_loss: 0.3612 | g_loss: 4.8017 2023-06-03 22:39:19 | Epoch [22/50] | Batch 490/509 | d_loss: 0.4013 | g_loss: 4.0628 2023-06-03 22:39:20 | Epoch [22/50] | Batch 495/509 | d_loss: 0.3917 | g_loss: 3.7551 2023-06-03 22:39:22 | Epoch [22/50] | Batch 500/509 | d_loss: 0.8708 | g_loss: 4.1695 2023-06-03 22:39:24 | Epoch [22/50] | Batch 505/509 | d_loss: 0.4163 | g_loss: 3.2022
2023-06-03 22:39:26 | Epoch [23/50] | Batch 0/509 | d_loss: 0.4127 | g_loss: 3.3601 2023-06-03 22:39:28 | Epoch [23/50] | Batch 5/509 | d_loss: 0.3684 | g_loss: 4.8531 2023-06-03 22:39:29 | Epoch [23/50] | Batch 10/509 | d_loss: 0.3864 | g_loss: 3.1917 2023-06-03 22:39:31 | Epoch [23/50] | Batch 15/509 | d_loss: 0.4045 | g_loss: 3.9669 2023-06-03 22:39:33 | Epoch [23/50] | Batch 20/509 | d_loss: 0.4258 | g_loss: 3.9728 2023-06-03 22:39:34 | Epoch [23/50] | Batch 25/509 | d_loss: 0.3840 | g_loss: 3.6981 2023-06-03 22:39:36 | Epoch [23/50] | Batch 30/509 | d_loss: 0.3548 | g_loss: 4.5158 2023-06-03 22:39:37 | Epoch [23/50] | Batch 35/509 | d_loss: 0.4356 | g_loss: 2.6670 2023-06-03 22:39:39 | Epoch [23/50] | Batch 40/509 | d_loss: 0.6752 | g_loss: 5.3514 2023-06-03 22:39:41 | Epoch [23/50] | Batch 45/509 | d_loss: 0.3675 | g_loss: 4.4649 2023-06-03 22:39:42 | Epoch [23/50] | Batch 50/509 | d_loss: 0.3629 | g_loss: 5.0667 2023-06-03 22:39:44 | Epoch [23/50] | Batch 55/509 | d_loss: 0.3747 | g_loss: 4.4260 2023-06-03 22:39:46 | Epoch [23/50] | Batch 60/509 | d_loss: 0.3768 | g_loss: 4.7501 2023-06-03 22:39:47 | Epoch [23/50] | Batch 65/509 | d_loss: 0.3884 | g_loss: 4.9072 2023-06-03 22:39:49 | Epoch [23/50] | Batch 70/509 | d_loss: 0.3796 | g_loss: 3.5344 2023-06-03 22:39:51 | Epoch [23/50] | Batch 75/509 | d_loss: 0.3806 | g_loss: 3.7309 2023-06-03 22:39:52 | Epoch [23/50] | Batch 80/509 | d_loss: 0.3446 | g_loss: 5.7423 2023-06-03 22:39:54 | Epoch [23/50] | Batch 85/509 | d_loss: 0.3489 | g_loss: 6.7682 2023-06-03 22:39:55 | Epoch [23/50] | Batch 90/509 | d_loss: 0.4148 | g_loss: 4.3461 2023-06-03 22:39:57 | Epoch [23/50] | Batch 95/509 | d_loss: 0.4017 | g_loss: 4.2705 2023-06-03 22:39:59 | Epoch [23/50] | Batch 100/509 | d_loss: 0.5264 | g_loss: 3.7630 2023-06-03 22:40:00 | Epoch [23/50] | Batch 105/509 | d_loss: 0.3642 | g_loss: 5.0226 2023-06-03 22:40:02 | Epoch [23/50] | Batch 110/509 | d_loss: 0.3741 | g_loss: 4.4999 2023-06-03 22:40:04 | Epoch [23/50] | Batch 115/509 | d_loss: 0.4434 | g_loss: 4.2096 2023-06-03 22:40:05 | Epoch [23/50] | Batch 120/509 | d_loss: 0.4663 | g_loss: 5.2212 2023-06-03 22:40:07 | Epoch [23/50] | Batch 125/509 | d_loss: 0.3971 | g_loss: 4.0559 2023-06-03 22:40:09 | Epoch [23/50] | Batch 130/509 | d_loss: 1.1751 | g_loss: 6.9799 2023-06-03 22:40:10 | Epoch [23/50] | Batch 135/509 | d_loss: 0.7582 | g_loss: 5.2213 2023-06-03 22:40:12 | Epoch [23/50] | Batch 140/509 | d_loss: 0.3685 | g_loss: 5.2218 2023-06-03 22:40:13 | Epoch [23/50] | Batch 145/509 | d_loss: 0.3730 | g_loss: 5.5032 2023-06-03 22:40:15 | Epoch [23/50] | Batch 150/509 | d_loss: 0.6716 | g_loss: 2.1250 2023-06-03 22:40:17 | Epoch [23/50] | Batch 155/509 | d_loss: 0.4136 | g_loss: 4.3775 2023-06-03 22:40:18 | Epoch [23/50] | Batch 160/509 | d_loss: 0.3588 | g_loss: 5.2337 2023-06-03 22:40:20 | Epoch [23/50] | Batch 165/509 | d_loss: 0.4594 | g_loss: 2.2791 2023-06-03 22:40:22 | Epoch [23/50] | Batch 170/509 | d_loss: 0.3405 | g_loss: 5.5831 2023-06-03 22:40:23 | Epoch [23/50] | Batch 175/509 | d_loss: 0.4568 | g_loss: 2.9411 2023-06-03 22:40:25 | Epoch [23/50] | Batch 180/509 | d_loss: 0.3570 | g_loss: 4.6481 2023-06-03 22:40:27 | Epoch [23/50] | Batch 185/509 | d_loss: 0.3474 | g_loss: 7.2111 2023-06-03 22:40:28 | Epoch [23/50] | Batch 190/509 | d_loss: 0.3831 | g_loss: 3.7642 2023-06-03 22:40:30 | Epoch [23/50] | Batch 195/509 | d_loss: 0.3930 | g_loss: 3.4101 2023-06-03 22:40:31 | Epoch [23/50] | Batch 200/509 | d_loss: 0.4962 | g_loss: 3.0438 2023-06-03 22:40:33 | Epoch [23/50] | Batch 205/509 | d_loss: 0.3612 | g_loss: 4.4216 2023-06-03 22:40:35 | Epoch [23/50] | Batch 210/509 | d_loss: 0.4837 | g_loss: 4.9754 2023-06-03 22:40:36 | Epoch [23/50] | Batch 215/509 | d_loss: 0.3731 | g_loss: 5.3357 2023-06-03 22:40:38 | Epoch [23/50] | Batch 220/509 | d_loss: 0.3731 | g_loss: 5.4408 2023-06-03 22:40:40 | Epoch [23/50] | Batch 225/509 | d_loss: 0.6665 | g_loss: 4.7024 2023-06-03 22:40:41 | Epoch [23/50] | Batch 230/509 | d_loss: 0.4658 | g_loss: 3.2029 2023-06-03 22:40:43 | Epoch [23/50] | Batch 235/509 | d_loss: 0.4170 | g_loss: 3.4561 2023-06-03 22:40:45 | Epoch [23/50] | Batch 240/509 | d_loss: 0.3864 | g_loss: 4.7729 2023-06-03 22:40:46 | Epoch [23/50] | Batch 245/509 | d_loss: 0.5236 | g_loss: 4.0468 2023-06-03 22:40:48 | Epoch [23/50] | Batch 250/509 | d_loss: 0.3902 | g_loss: 5.4887 2023-06-03 22:40:49 | Epoch [23/50] | Batch 255/509 | d_loss: 0.3767 | g_loss: 3.9667 2023-06-03 22:40:51 | Epoch [23/50] | Batch 260/509 | d_loss: 0.3563 | g_loss: 4.8156 2023-06-03 22:40:53 | Epoch [23/50] | Batch 265/509 | d_loss: 0.3550 | g_loss: 5.1050 2023-06-03 22:40:54 | Epoch [23/50] | Batch 270/509 | d_loss: 0.4052 | g_loss: 4.2948 2023-06-03 22:40:56 | Epoch [23/50] | Batch 275/509 | d_loss: 0.3585 | g_loss: 4.8144 2023-06-03 22:40:58 | Epoch [23/50] | Batch 280/509 | d_loss: 0.3711 | g_loss: 4.2521 2023-06-03 22:40:59 | Epoch [23/50] | Batch 285/509 | d_loss: 0.3892 | g_loss: 3.2655 2023-06-03 22:41:01 | Epoch [23/50] | Batch 290/509 | d_loss: 0.3457 | g_loss: 5.3848 2023-06-03 22:41:03 | Epoch [23/50] | Batch 295/509 | d_loss: 0.3476 | g_loss: 4.8488 2023-06-03 22:41:04 | Epoch [23/50] | Batch 300/509 | d_loss: 0.3487 | g_loss: 6.9788 2023-06-03 22:41:06 | Epoch [23/50] | Batch 305/509 | d_loss: 0.3597 | g_loss: 5.3013 2023-06-03 22:41:07 | Epoch [23/50] | Batch 310/509 | d_loss: 0.4579 | g_loss: 2.6783 2023-06-03 22:41:09 | Epoch [23/50] | Batch 315/509 | d_loss: 0.3835 | g_loss: 5.7010 2023-06-03 22:41:11 | Epoch [23/50] | Batch 320/509 | d_loss: 0.3758 | g_loss: 3.6122 2023-06-03 22:41:12 | Epoch [23/50] | Batch 325/509 | d_loss: 0.3605 | g_loss: 5.9501 2023-06-03 22:41:14 | Epoch [23/50] | Batch 330/509 | d_loss: 0.3562 | g_loss: 5.1211 2023-06-03 22:41:16 | Epoch [23/50] | Batch 335/509 | d_loss: 0.3760 | g_loss: 3.2940 2023-06-03 22:41:17 | Epoch [23/50] | Batch 340/509 | d_loss: 0.3764 | g_loss: 4.4630 2023-06-03 22:41:19 | Epoch [23/50] | Batch 345/509 | d_loss: 0.8927 | g_loss: 6.7265 2023-06-03 22:41:21 | Epoch [23/50] | Batch 350/509 | d_loss: 0.8704 | g_loss: 5.3727 2023-06-03 22:41:22 | Epoch [23/50] | Batch 355/509 | d_loss: 0.3782 | g_loss: 5.0279 2023-06-03 22:41:24 | Epoch [23/50] | Batch 360/509 | d_loss: 0.4203 | g_loss: 3.4129 2023-06-03 22:41:25 | Epoch [23/50] | Batch 365/509 | d_loss: 0.4422 | g_loss: 4.0716 2023-06-03 22:41:27 | Epoch [23/50] | Batch 370/509 | d_loss: 0.3751 | g_loss: 5.9516 2023-06-03 22:41:29 | Epoch [23/50] | Batch 375/509 | d_loss: 0.4256 | g_loss: 4.7163 2023-06-03 22:41:30 | Epoch [23/50] | Batch 380/509 | d_loss: 0.3620 | g_loss: 5.3364 2023-06-03 22:41:32 | Epoch [23/50] | Batch 385/509 | d_loss: 0.4247 | g_loss: 4.4754 2023-06-03 22:41:34 | Epoch [23/50] | Batch 390/509 | d_loss: 0.3911 | g_loss: 5.3979 2023-06-03 22:41:35 | Epoch [23/50] | Batch 395/509 | d_loss: 0.6573 | g_loss: 1.3186 2023-06-03 22:41:37 | Epoch [23/50] | Batch 400/509 | d_loss: 0.3934 | g_loss: 4.6839 2023-06-03 22:41:39 | Epoch [23/50] | Batch 405/509 | d_loss: 0.3624 | g_loss: 8.0924 2023-06-03 22:41:40 | Epoch [23/50] | Batch 410/509 | d_loss: 0.3831 | g_loss: 3.9745 2023-06-03 22:41:42 | Epoch [23/50] | Batch 415/509 | d_loss: 0.4672 | g_loss: 4.2416 2023-06-03 22:41:43 | Epoch [23/50] | Batch 420/509 | d_loss: 0.3697 | g_loss: 3.7255 2023-06-03 22:41:45 | Epoch [23/50] | Batch 425/509 | d_loss: 0.4797 | g_loss: 4.4721 2023-06-03 22:41:47 | Epoch [23/50] | Batch 430/509 | d_loss: 0.5488 | g_loss: 4.4039 2023-06-03 22:41:48 | Epoch [23/50] | Batch 435/509 | d_loss: 0.3526 | g_loss: 5.8539 2023-06-03 22:41:50 | Epoch [23/50] | Batch 440/509 | d_loss: 0.3798 | g_loss: 4.1502 2023-06-03 22:41:52 | Epoch [23/50] | Batch 445/509 | d_loss: 0.3843 | g_loss: 5.2209 2023-06-03 22:41:53 | Epoch [23/50] | Batch 450/509 | d_loss: 0.4049 | g_loss: 3.9749 2023-06-03 22:41:55 | Epoch [23/50] | Batch 455/509 | d_loss: 0.3537 | g_loss: 5.2076 2023-06-03 22:41:57 | Epoch [23/50] | Batch 460/509 | d_loss: 0.4105 | g_loss: 5.3721 2023-06-03 22:41:58 | Epoch [23/50] | Batch 465/509 | d_loss: 0.3715 | g_loss: 4.9879 2023-06-03 22:42:00 | Epoch [23/50] | Batch 470/509 | d_loss: 0.3445 | g_loss: 5.3566 2023-06-03 22:42:01 | Epoch [23/50] | Batch 475/509 | d_loss: 0.4356 | g_loss: 2.9879 2023-06-03 22:42:03 | Epoch [23/50] | Batch 480/509 | d_loss: 0.3570 | g_loss: 6.3932 2023-06-03 22:42:05 | Epoch [23/50] | Batch 485/509 | d_loss: 0.3728 | g_loss: 5.2153 2023-06-03 22:42:06 | Epoch [23/50] | Batch 490/509 | d_loss: 0.4015 | g_loss: 3.3479 2023-06-03 22:42:08 | Epoch [23/50] | Batch 495/509 | d_loss: 0.4041 | g_loss: 4.3234 2023-06-03 22:42:10 | Epoch [23/50] | Batch 500/509 | d_loss: 0.4173 | g_loss: 4.1105 2023-06-03 22:42:11 | Epoch [23/50] | Batch 505/509 | d_loss: 0.3586 | g_loss: 4.0059
2023-06-03 22:42:14 | Epoch [24/50] | Batch 0/509 | d_loss: 0.3868 | g_loss: 3.2679 2023-06-03 22:42:15 | Epoch [24/50] | Batch 5/509 | d_loss: 0.3669 | g_loss: 4.7089 2023-06-03 22:42:17 | Epoch [24/50] | Batch 10/509 | d_loss: 0.3691 | g_loss: 4.4949 2023-06-03 22:42:19 | Epoch [24/50] | Batch 15/509 | d_loss: 0.4264 | g_loss: 3.9933 2023-06-03 22:42:20 | Epoch [24/50] | Batch 20/509 | d_loss: 0.4160 | g_loss: 4.3623 2023-06-03 22:42:22 | Epoch [24/50] | Batch 25/509 | d_loss: 1.7424 | g_loss: 8.8952 2023-06-03 22:42:24 | Epoch [24/50] | Batch 30/509 | d_loss: 0.5122 | g_loss: 2.4551 2023-06-03 22:42:25 | Epoch [24/50] | Batch 35/509 | d_loss: 0.4807 | g_loss: 2.9842 2023-06-03 22:42:27 | Epoch [24/50] | Batch 40/509 | d_loss: 0.4121 | g_loss: 3.7733 2023-06-03 22:42:29 | Epoch [24/50] | Batch 45/509 | d_loss: 0.8722 | g_loss: 3.9392 2023-06-03 22:42:30 | Epoch [24/50] | Batch 50/509 | d_loss: 0.3980 | g_loss: 4.3161 2023-06-03 22:42:32 | Epoch [24/50] | Batch 55/509 | d_loss: 0.4526 | g_loss: 3.8557 2023-06-03 22:42:34 | Epoch [24/50] | Batch 60/509 | d_loss: 0.3945 | g_loss: 4.0514 2023-06-03 22:42:35 | Epoch [24/50] | Batch 65/509 | d_loss: 0.4842 | g_loss: 4.4989 2023-06-03 22:42:37 | Epoch [24/50] | Batch 70/509 | d_loss: 0.3969 | g_loss: 3.9089 2023-06-03 22:42:38 | Epoch [24/50] | Batch 75/509 | d_loss: 0.3767 | g_loss: 3.3334 2023-06-03 22:42:40 | Epoch [24/50] | Batch 80/509 | d_loss: 0.9353 | g_loss: 3.8720 2023-06-03 22:42:42 | Epoch [24/50] | Batch 85/509 | d_loss: 0.6244 | g_loss: 4.7782 2023-06-03 22:42:43 | Epoch [24/50] | Batch 90/509 | d_loss: 0.3998 | g_loss: 3.9300 2023-06-03 22:42:45 | Epoch [24/50] | Batch 95/509 | d_loss: 0.3913 | g_loss: 3.5013 2023-06-03 22:42:47 | Epoch [24/50] | Batch 100/509 | d_loss: 0.3840 | g_loss: 3.0738 2023-06-03 22:42:48 | Epoch [24/50] | Batch 105/509 | d_loss: 0.8413 | g_loss: 3.1188 2023-06-03 22:42:50 | Epoch [24/50] | Batch 110/509 | d_loss: 0.4795 | g_loss: 3.5988 2023-06-03 22:42:52 | Epoch [24/50] | Batch 115/509 | d_loss: 0.3970 | g_loss: 4.6339 2023-06-03 22:42:53 | Epoch [24/50] | Batch 120/509 | d_loss: 0.4084 | g_loss: 3.5192 2023-06-03 22:42:55 | Epoch [24/50] | Batch 125/509 | d_loss: 0.3969 | g_loss: 2.7852 2023-06-03 22:42:56 | Epoch [24/50] | Batch 130/509 | d_loss: 0.4234 | g_loss: 4.0801 2023-06-03 22:42:58 | Epoch [24/50] | Batch 135/509 | d_loss: 0.4818 | g_loss: 4.8135 2023-06-03 22:43:00 | Epoch [24/50] | Batch 140/509 | d_loss: 0.4304 | g_loss: 4.6269 2023-06-03 22:43:01 | Epoch [24/50] | Batch 145/509 | d_loss: 0.3664 | g_loss: 4.1498 2023-06-03 22:43:03 | Epoch [24/50] | Batch 150/509 | d_loss: 0.3703 | g_loss: 5.9723 2023-06-03 22:43:05 | Epoch [24/50] | Batch 155/509 | d_loss: 0.4363 | g_loss: 4.7100 2023-06-03 22:43:06 | Epoch [24/50] | Batch 160/509 | d_loss: 0.3516 | g_loss: 5.7352 2023-06-03 22:43:08 | Epoch [24/50] | Batch 165/509 | d_loss: 0.3684 | g_loss: 4.7179 2023-06-03 22:43:10 | Epoch [24/50] | Batch 170/509 | d_loss: 0.4329 | g_loss: 4.0814 2023-06-03 22:43:11 | Epoch [24/50] | Batch 175/509 | d_loss: 0.3524 | g_loss: 5.6006 2023-06-03 22:43:13 | Epoch [24/50] | Batch 180/509 | d_loss: 0.3759 | g_loss: 5.8606 2023-06-03 22:43:15 | Epoch [24/50] | Batch 185/509 | d_loss: 0.3814 | g_loss: 5.0765 2023-06-03 22:43:16 | Epoch [24/50] | Batch 190/509 | d_loss: 0.3852 | g_loss: 4.2527 2023-06-03 22:43:18 | Epoch [24/50] | Batch 195/509 | d_loss: 0.3812 | g_loss: 3.7905 2023-06-03 22:43:19 | Epoch [24/50] | Batch 200/509 | d_loss: 0.4463 | g_loss: 4.4708 2023-06-03 22:43:21 | Epoch [24/50] | Batch 205/509 | d_loss: 0.3800 | g_loss: 4.4045 2023-06-03 22:43:23 | Epoch [24/50] | Batch 210/509 | d_loss: 0.3694 | g_loss: 4.0066 2023-06-03 22:43:24 | Epoch [24/50] | Batch 215/509 | d_loss: 0.4576 | g_loss: 3.4571 2023-06-03 22:43:26 | Epoch [24/50] | Batch 220/509 | d_loss: 0.4837 | g_loss: 2.8390 2023-06-03 22:43:28 | Epoch [24/50] | Batch 225/509 | d_loss: 0.5034 | g_loss: 4.9653 2023-06-03 22:43:29 | Epoch [24/50] | Batch 230/509 | d_loss: 1.2623 | g_loss: 4.2757 2023-06-03 22:43:31 | Epoch [24/50] | Batch 235/509 | d_loss: 2.3796 | g_loss: 7.1069 2023-06-03 22:43:33 | Epoch [24/50] | Batch 240/509 | d_loss: 0.4534 | g_loss: 3.2169 2023-06-03 22:43:34 | Epoch [24/50] | Batch 245/509 | d_loss: 0.5404 | g_loss: 3.6640 2023-06-03 22:43:36 | Epoch [24/50] | Batch 250/509 | d_loss: 0.4888 | g_loss: 2.6535 2023-06-03 22:43:37 | Epoch [24/50] | Batch 255/509 | d_loss: 0.5097 | g_loss: 4.2393 2023-06-03 22:43:39 | Epoch [24/50] | Batch 260/509 | d_loss: 0.5116 | g_loss: 5.1694 2023-06-03 22:43:41 | Epoch [24/50] | Batch 265/509 | d_loss: 0.4071 | g_loss: 4.3851 2023-06-03 22:43:42 | Epoch [24/50] | Batch 270/509 | d_loss: 0.3698 | g_loss: 6.7976 2023-06-03 22:43:44 | Epoch [24/50] | Batch 275/509 | d_loss: 0.5813 | g_loss: 1.7508 2023-06-03 22:43:46 | Epoch [24/50] | Batch 280/509 | d_loss: 0.5314 | g_loss: 2.4765 2023-06-03 22:43:47 | Epoch [24/50] | Batch 285/509 | d_loss: 0.4101 | g_loss: 6.3052 2023-06-03 22:43:49 | Epoch [24/50] | Batch 290/509 | d_loss: 0.3999 | g_loss: 4.6684 2023-06-03 22:43:51 | Epoch [24/50] | Batch 295/509 | d_loss: 0.4538 | g_loss: 3.6876 2023-06-03 22:43:52 | Epoch [24/50] | Batch 300/509 | d_loss: 0.4638 | g_loss: 4.1404 2023-06-03 22:43:54 | Epoch [24/50] | Batch 305/509 | d_loss: 0.3673 | g_loss: 4.9678 2023-06-03 22:43:55 | Epoch [24/50] | Batch 310/509 | d_loss: 0.3773 | g_loss: 4.6438 2023-06-03 22:43:57 | Epoch [24/50] | Batch 315/509 | d_loss: 0.3679 | g_loss: 4.2461 2023-06-03 22:43:59 | Epoch [24/50] | Batch 320/509 | d_loss: 0.3641 | g_loss: 4.4405 2023-06-03 22:44:00 | Epoch [24/50] | Batch 325/509 | d_loss: 0.3757 | g_loss: 4.6014 2023-06-03 22:44:02 | Epoch [24/50] | Batch 330/509 | d_loss: 0.3904 | g_loss: 4.7378 2023-06-03 22:44:04 | Epoch [24/50] | Batch 335/509 | d_loss: 0.3761 | g_loss: 3.9292 2023-06-03 22:44:05 | Epoch [24/50] | Batch 340/509 | d_loss: 0.3561 | g_loss: 5.8998 2023-06-03 22:44:07 | Epoch [24/50] | Batch 345/509 | d_loss: 0.3860 | g_loss: 3.7747 2023-06-03 22:44:09 | Epoch [24/50] | Batch 350/509 | d_loss: 0.4134 | g_loss: 3.3809 2023-06-03 22:44:10 | Epoch [24/50] | Batch 355/509 | d_loss: 0.3742 | g_loss: 5.1565 2023-06-03 22:44:12 | Epoch [24/50] | Batch 360/509 | d_loss: 0.3473 | g_loss: 5.0313 2023-06-03 22:44:13 | Epoch [24/50] | Batch 365/509 | d_loss: 0.3956 | g_loss: 3.6409 2023-06-03 22:44:15 | Epoch [24/50] | Batch 370/509 | d_loss: 1.3850 | g_loss: 3.9619 2023-06-03 22:44:17 | Epoch [24/50] | Batch 375/509 | d_loss: 0.5194 | g_loss: 5.5877 2023-06-03 22:44:18 | Epoch [24/50] | Batch 380/509 | d_loss: 0.4623 | g_loss: 3.0976 2023-06-03 22:44:20 | Epoch [24/50] | Batch 385/509 | d_loss: 0.4035 | g_loss: 3.3974 2023-06-03 22:44:22 | Epoch [24/50] | Batch 390/509 | d_loss: 0.3654 | g_loss: 3.8038 2023-06-03 22:44:23 | Epoch [24/50] | Batch 395/509 | d_loss: 0.5037 | g_loss: 7.5669 2023-06-03 22:44:25 | Epoch [24/50] | Batch 400/509 | d_loss: 0.5332 | g_loss: 5.6136 2023-06-03 22:44:27 | Epoch [24/50] | Batch 405/509 | d_loss: 0.4244 | g_loss: 3.5488 2023-06-03 22:44:28 | Epoch [24/50] | Batch 410/509 | d_loss: 0.3759 | g_loss: 4.2445 2023-06-03 22:44:30 | Epoch [24/50] | Batch 415/509 | d_loss: 0.3895 | g_loss: 4.1854 2023-06-03 22:44:32 | Epoch [24/50] | Batch 420/509 | d_loss: 0.4386 | g_loss: 3.7087 2023-06-03 22:44:33 | Epoch [24/50] | Batch 425/509 | d_loss: 0.3638 | g_loss: 4.9729 2023-06-03 22:44:35 | Epoch [24/50] | Batch 430/509 | d_loss: 0.3825 | g_loss: 5.0614 2023-06-03 22:44:36 | Epoch [24/50] | Batch 435/509 | d_loss: 0.3844 | g_loss: 6.0169 2023-06-03 22:44:38 | Epoch [24/50] | Batch 440/509 | d_loss: 0.3742 | g_loss: 3.6459 2023-06-03 22:44:40 | Epoch [24/50] | Batch 445/509 | d_loss: 0.3839 | g_loss: 4.8525 2023-06-03 22:44:41 | Epoch [24/50] | Batch 450/509 | d_loss: 0.4061 | g_loss: 4.0069 2023-06-03 22:44:43 | Epoch [24/50] | Batch 455/509 | d_loss: 0.3531 | g_loss: 5.4314 2023-06-03 22:44:45 | Epoch [24/50] | Batch 460/509 | d_loss: 0.5529 | g_loss: 4.6390 2023-06-03 22:44:46 | Epoch [24/50] | Batch 465/509 | d_loss: 0.4938 | g_loss: 2.1824 2023-06-03 22:44:48 | Epoch [24/50] | Batch 470/509 | d_loss: 0.3799 | g_loss: 4.5019 2023-06-03 22:44:50 | Epoch [24/50] | Batch 475/509 | d_loss: 0.4312 | g_loss: 3.6622 2023-06-03 22:44:51 | Epoch [24/50] | Batch 480/509 | d_loss: 0.3807 | g_loss: 4.4956 2023-06-03 22:44:53 | Epoch [24/50] | Batch 485/509 | d_loss: 0.4264 | g_loss: 4.9230 2023-06-03 22:44:54 | Epoch [24/50] | Batch 490/509 | d_loss: 0.3848 | g_loss: 3.7444 2023-06-03 22:44:56 | Epoch [24/50] | Batch 495/509 | d_loss: 0.4325 | g_loss: 2.9810 2023-06-03 22:44:58 | Epoch [24/50] | Batch 500/509 | d_loss: 0.3567 | g_loss: 4.3161 2023-06-03 22:44:59 | Epoch [24/50] | Batch 505/509 | d_loss: 0.3605 | g_loss: 3.6523
2023-06-03 22:45:02 | Epoch [25/50] | Batch 0/509 | d_loss: 0.4138 | g_loss: 4.6446 2023-06-03 22:45:03 | Epoch [25/50] | Batch 5/509 | d_loss: 0.4343 | g_loss: 4.7745 2023-06-03 22:45:05 | Epoch [25/50] | Batch 10/509 | d_loss: 0.3770 | g_loss: 5.3223 2023-06-03 22:45:07 | Epoch [25/50] | Batch 15/509 | d_loss: 1.0859 | g_loss: 6.7523 2023-06-03 22:45:08 | Epoch [25/50] | Batch 20/509 | d_loss: 0.3959 | g_loss: 3.9214 2023-06-03 22:45:10 | Epoch [25/50] | Batch 25/509 | d_loss: 0.3764 | g_loss: 4.4396 2023-06-03 22:45:12 | Epoch [25/50] | Batch 30/509 | d_loss: 0.3967 | g_loss: 4.4426 2023-06-03 22:45:13 | Epoch [25/50] | Batch 35/509 | d_loss: 0.4001 | g_loss: 4.2205 2023-06-03 22:45:15 | Epoch [25/50] | Batch 40/509 | d_loss: 0.6507 | g_loss: 4.8132 2023-06-03 22:45:17 | Epoch [25/50] | Batch 45/509 | d_loss: 0.3777 | g_loss: 5.1497 2023-06-03 22:45:18 | Epoch [25/50] | Batch 50/509 | d_loss: 0.3615 | g_loss: 4.6082 2023-06-03 22:45:20 | Epoch [25/50] | Batch 55/509 | d_loss: 0.4083 | g_loss: 3.8696 2023-06-03 22:45:21 | Epoch [25/50] | Batch 60/509 | d_loss: 0.3686 | g_loss: 5.4826 2023-06-03 22:45:23 | Epoch [25/50] | Batch 65/509 | d_loss: 0.3603 | g_loss: 5.7510 2023-06-03 22:45:25 | Epoch [25/50] | Batch 70/509 | d_loss: 0.3953 | g_loss: 3.3798 2023-06-03 22:45:26 | Epoch [25/50] | Batch 75/509 | d_loss: 0.3560 | g_loss: 6.7116 2023-06-03 22:45:28 | Epoch [25/50] | Batch 80/509 | d_loss: 0.3896 | g_loss: 4.2336 2023-06-03 22:45:30 | Epoch [25/50] | Batch 85/509 | d_loss: 0.3734 | g_loss: 4.3024 2023-06-03 22:45:31 | Epoch [25/50] | Batch 90/509 | d_loss: 0.5114 | g_loss: 4.8694 2023-06-03 22:45:33 | Epoch [25/50] | Batch 95/509 | d_loss: 0.3579 | g_loss: 6.1097 2023-06-03 22:45:35 | Epoch [25/50] | Batch 100/509 | d_loss: 0.3750 | g_loss: 4.3882 2023-06-03 22:45:36 | Epoch [25/50] | Batch 105/509 | d_loss: 0.3429 | g_loss: 7.6724 2023-06-03 22:45:38 | Epoch [25/50] | Batch 110/509 | d_loss: 0.3555 | g_loss: 4.5881 2023-06-03 22:45:39 | Epoch [25/50] | Batch 115/509 | d_loss: 0.4041 | g_loss: 5.2364 2023-06-03 22:45:41 | Epoch [25/50] | Batch 120/509 | d_loss: 0.4088 | g_loss: 3.7061 2023-06-03 22:45:43 | Epoch [25/50] | Batch 125/509 | d_loss: 0.3821 | g_loss: 5.1437 2023-06-03 22:45:44 | Epoch [25/50] | Batch 130/509 | d_loss: 0.3993 | g_loss: 3.6031 2023-06-03 22:45:46 | Epoch [25/50] | Batch 135/509 | d_loss: 0.4111 | g_loss: 3.6623 2023-06-03 22:45:48 | Epoch [25/50] | Batch 140/509 | d_loss: 0.3730 | g_loss: 4.4189 2023-06-03 22:45:49 | Epoch [25/50] | Batch 145/509 | d_loss: 0.3908 | g_loss: 4.1995 2023-06-03 22:45:51 | Epoch [25/50] | Batch 150/509 | d_loss: 0.3684 | g_loss: 3.3699 2023-06-03 22:45:53 | Epoch [25/50] | Batch 155/509 | d_loss: 0.3778 | g_loss: 4.5127 2023-06-03 22:45:54 | Epoch [25/50] | Batch 160/509 | d_loss: 0.5602 | g_loss: 1.5437 2023-06-03 22:45:56 | Epoch [25/50] | Batch 165/509 | d_loss: 0.4408 | g_loss: 3.8136 2023-06-03 22:45:57 | Epoch [25/50] | Batch 170/509 | d_loss: 0.3963 | g_loss: 3.5830 2023-06-03 22:45:59 | Epoch [25/50] | Batch 175/509 | d_loss: 0.3915 | g_loss: 5.8164 2023-06-03 22:46:01 | Epoch [25/50] | Batch 180/509 | d_loss: 0.3740 | g_loss: 5.6011 2023-06-03 22:46:02 | Epoch [25/50] | Batch 185/509 | d_loss: 0.3614 | g_loss: 4.6471 2023-06-03 22:46:04 | Epoch [25/50] | Batch 190/509 | d_loss: 0.3641 | g_loss: 3.8151 2023-06-03 22:46:06 | Epoch [25/50] | Batch 195/509 | d_loss: 0.5124 | g_loss: 5.9630 2023-06-03 22:46:07 | Epoch [25/50] | Batch 200/509 | d_loss: 0.3579 | g_loss: 3.4590 2023-06-03 22:46:09 | Epoch [25/50] | Batch 205/509 | d_loss: 0.3689 | g_loss: 5.4226 2023-06-03 22:46:11 | Epoch [25/50] | Batch 210/509 | d_loss: 0.3845 | g_loss: 3.8659 2023-06-03 22:46:12 | Epoch [25/50] | Batch 215/509 | d_loss: 0.4138 | g_loss: 4.3957 2023-06-03 22:46:14 | Epoch [25/50] | Batch 220/509 | d_loss: 0.3639 | g_loss: 3.6174 2023-06-03 22:46:15 | Epoch [25/50] | Batch 225/509 | d_loss: 0.3827 | g_loss: 3.7265 2023-06-03 22:46:17 | Epoch [25/50] | Batch 230/509 | d_loss: 0.4387 | g_loss: 4.3787 2023-06-03 22:46:19 | Epoch [25/50] | Batch 235/509 | d_loss: 0.4458 | g_loss: 4.5325 2023-06-03 22:46:20 | Epoch [25/50] | Batch 240/509 | d_loss: 0.3983 | g_loss: 3.3084 2023-06-03 22:46:22 | Epoch [25/50] | Batch 245/509 | d_loss: 0.3590 | g_loss: 5.3787 2023-06-03 22:46:24 | Epoch [25/50] | Batch 250/509 | d_loss: 0.3645 | g_loss: 6.1847 2023-06-03 22:46:25 | Epoch [25/50] | Batch 255/509 | d_loss: 0.4001 | g_loss: 3.4404 2023-06-03 22:46:27 | Epoch [25/50] | Batch 260/509 | d_loss: 0.3882 | g_loss: 4.0925 2023-06-03 22:46:29 | Epoch [25/50] | Batch 265/509 | d_loss: 0.3578 | g_loss: 6.8367 2023-06-03 22:46:30 | Epoch [25/50] | Batch 270/509 | d_loss: 0.4342 | g_loss: 4.4577 2023-06-03 22:46:32 | Epoch [25/50] | Batch 275/509 | d_loss: 0.5613 | g_loss: 2.5082 2023-06-03 22:46:33 | Epoch [25/50] | Batch 280/509 | d_loss: 3.8416 | g_loss: 6.4899 2023-06-03 22:46:35 | Epoch [25/50] | Batch 285/509 | d_loss: 0.5068 | g_loss: 4.8106 2023-06-03 22:46:37 | Epoch [25/50] | Batch 290/509 | d_loss: 0.5687 | g_loss: 3.4641 2023-06-03 22:46:38 | Epoch [25/50] | Batch 295/509 | d_loss: 0.6480 | g_loss: 2.6941 2023-06-03 22:46:40 | Epoch [25/50] | Batch 300/509 | d_loss: 0.5135 | g_loss: 3.6277 2023-06-03 22:46:42 | Epoch [25/50] | Batch 305/509 | d_loss: 1.6699 | g_loss: 6.6061 2023-06-03 22:46:43 | Epoch [25/50] | Batch 310/509 | d_loss: 0.6393 | g_loss: 3.4930 2023-06-03 22:46:45 | Epoch [25/50] | Batch 315/509 | d_loss: 0.6338 | g_loss: 2.8090 2023-06-03 22:46:47 | Epoch [25/50] | Batch 320/509 | d_loss: 0.5272 | g_loss: 2.6591 2023-06-03 22:46:48 | Epoch [25/50] | Batch 325/509 | d_loss: 0.7487 | g_loss: 3.2073 2023-06-03 22:46:50 | Epoch [25/50] | Batch 330/509 | d_loss: 0.5847 | g_loss: 4.1368 2023-06-03 22:46:51 | Epoch [25/50] | Batch 335/509 | d_loss: 0.5614 | g_loss: 3.4777 2023-06-03 22:46:53 | Epoch [25/50] | Batch 340/509 | d_loss: 0.4920 | g_loss: 4.4234 2023-06-03 22:46:55 | Epoch [25/50] | Batch 345/509 | d_loss: 0.6201 | g_loss: 1.6964 2023-06-03 22:46:56 | Epoch [25/50] | Batch 350/509 | d_loss: 0.4587 | g_loss: 3.8875 2023-06-03 22:46:58 | Epoch [25/50] | Batch 355/509 | d_loss: 0.4294 | g_loss: 3.1640 2023-06-03 22:47:00 | Epoch [25/50] | Batch 360/509 | d_loss: 0.4554 | g_loss: 3.5322 2023-06-03 22:47:01 | Epoch [25/50] | Batch 365/509 | d_loss: 0.4752 | g_loss: 4.7963 2023-06-03 22:47:03 | Epoch [25/50] | Batch 370/509 | d_loss: 0.4336 | g_loss: 3.5808 2023-06-03 22:47:05 | Epoch [25/50] | Batch 375/509 | d_loss: 0.3755 | g_loss: 4.7385 2023-06-03 22:47:06 | Epoch [25/50] | Batch 380/509 | d_loss: 0.7616 | g_loss: 3.8643 2023-06-03 22:47:08 | Epoch [25/50] | Batch 385/509 | d_loss: 1.0044 | g_loss: 4.8252 2023-06-03 22:47:09 | Epoch [25/50] | Batch 390/509 | d_loss: 0.6393 | g_loss: 2.1814 2023-06-03 22:47:11 | Epoch [25/50] | Batch 395/509 | d_loss: 0.4884 | g_loss: 2.5285 2023-06-03 22:47:13 | Epoch [25/50] | Batch 400/509 | d_loss: 0.5384 | g_loss: 3.3279 2023-06-03 22:47:14 | Epoch [25/50] | Batch 405/509 | d_loss: 0.4934 | g_loss: 3.3289 2023-06-03 22:47:16 | Epoch [25/50] | Batch 410/509 | d_loss: 0.6226 | g_loss: 4.2064 2023-06-03 22:47:18 | Epoch [25/50] | Batch 415/509 | d_loss: 0.6028 | g_loss: 4.4764 2023-06-03 22:47:19 | Epoch [25/50] | Batch 420/509 | d_loss: 0.4552 | g_loss: 4.1433 2023-06-03 22:47:21 | Epoch [25/50] | Batch 425/509 | d_loss: 0.8451 | g_loss: 5.1856 2023-06-03 22:47:23 | Epoch [25/50] | Batch 430/509 | d_loss: 0.4501 | g_loss: 3.8326 2023-06-03 22:47:24 | Epoch [25/50] | Batch 435/509 | d_loss: 0.4529 | g_loss: 3.8662 2023-06-03 22:47:26 | Epoch [25/50] | Batch 440/509 | d_loss: 0.4930 | g_loss: 2.4598 2023-06-03 22:47:27 | Epoch [25/50] | Batch 445/509 | d_loss: 0.4541 | g_loss: 4.3566 2023-06-03 22:47:29 | Epoch [25/50] | Batch 450/509 | d_loss: 0.5616 | g_loss: 3.2274 2023-06-03 22:47:31 | Epoch [25/50] | Batch 455/509 | d_loss: 0.5774 | g_loss: 2.8043 2023-06-03 22:47:32 | Epoch [25/50] | Batch 460/509 | d_loss: 0.6070 | g_loss: 2.7021 2023-06-03 22:47:34 | Epoch [25/50] | Batch 465/509 | d_loss: 0.5381 | g_loss: 4.0144 2023-06-03 22:47:36 | Epoch [25/50] | Batch 470/509 | d_loss: 0.3989 | g_loss: 3.7231 2023-06-03 22:47:37 | Epoch [25/50] | Batch 475/509 | d_loss: 0.4619 | g_loss: 3.4634 2023-06-03 22:47:39 | Epoch [25/50] | Batch 480/509 | d_loss: 0.3746 | g_loss: 4.4698 2023-06-03 22:47:41 | Epoch [25/50] | Batch 485/509 | d_loss: 0.4023 | g_loss: 3.8518 2023-06-03 22:47:42 | Epoch [25/50] | Batch 490/509 | d_loss: 0.3729 | g_loss: 5.3803 2023-06-03 22:47:44 | Epoch [25/50] | Batch 495/509 | d_loss: 0.5200 | g_loss: 3.6946 2023-06-03 22:47:45 | Epoch [25/50] | Batch 500/509 | d_loss: 0.3851 | g_loss: 3.6425 2023-06-03 22:47:47 | Epoch [25/50] | Batch 505/509 | d_loss: 0.4047 | g_loss: 3.9039
2023-06-03 22:47:50 | Epoch [26/50] | Batch 0/509 | d_loss: 0.3629 | g_loss: 4.8346 2023-06-03 22:47:51 | Epoch [26/50] | Batch 5/509 | d_loss: 0.3788 | g_loss: 4.4020 2023-06-03 22:47:53 | Epoch [26/50] | Batch 10/509 | d_loss: 0.4128 | g_loss: 3.8834 2023-06-03 22:47:55 | Epoch [26/50] | Batch 15/509 | d_loss: 0.3693 | g_loss: 4.5255 2023-06-03 22:47:56 | Epoch [26/50] | Batch 20/509 | d_loss: 0.4001 | g_loss: 4.2233 2023-06-03 22:47:58 | Epoch [26/50] | Batch 25/509 | d_loss: 0.8905 | g_loss: 6.6554 2023-06-03 22:48:00 | Epoch [26/50] | Batch 30/509 | d_loss: 0.5040 | g_loss: 2.4255 2023-06-03 22:48:01 | Epoch [26/50] | Batch 35/509 | d_loss: 0.3841 | g_loss: 4.2451 2023-06-03 22:48:03 | Epoch [26/50] | Batch 40/509 | d_loss: 0.3993 | g_loss: 3.8679 2023-06-03 22:48:04 | Epoch [26/50] | Batch 45/509 | d_loss: 0.4091 | g_loss: 3.2426 2023-06-03 22:48:06 | Epoch [26/50] | Batch 50/509 | d_loss: 0.3876 | g_loss: 4.1097 2023-06-03 22:48:08 | Epoch [26/50] | Batch 55/509 | d_loss: 0.4937 | g_loss: 3.8683 2023-06-03 22:48:09 | Epoch [26/50] | Batch 60/509 | d_loss: 0.4212 | g_loss: 4.1598 2023-06-03 22:48:11 | Epoch [26/50] | Batch 65/509 | d_loss: 0.3826 | g_loss: 4.8618 2023-06-03 22:48:13 | Epoch [26/50] | Batch 70/509 | d_loss: 0.4217 | g_loss: 4.2089 2023-06-03 22:48:14 | Epoch [26/50] | Batch 75/509 | d_loss: 0.3654 | g_loss: 4.0327 2023-06-03 22:48:16 | Epoch [26/50] | Batch 80/509 | d_loss: 0.3946 | g_loss: 4.4448 2023-06-03 22:48:18 | Epoch [26/50] | Batch 85/509 | d_loss: 0.3601 | g_loss: 4.8193 2023-06-03 22:48:19 | Epoch [26/50] | Batch 90/509 | d_loss: 0.6498 | g_loss: 1.8594 2023-06-03 22:48:21 | Epoch [26/50] | Batch 95/509 | d_loss: 0.5722 | g_loss: 5.2754 2023-06-03 22:48:22 | Epoch [26/50] | Batch 100/509 | d_loss: 0.3601 | g_loss: 5.3444 2023-06-03 22:48:24 | Epoch [26/50] | Batch 105/509 | d_loss: 0.4304 | g_loss: 4.4250 2023-06-03 22:48:26 | Epoch [26/50] | Batch 110/509 | d_loss: 0.3880 | g_loss: 6.8336 2023-06-03 22:48:27 | Epoch [26/50] | Batch 115/509 | d_loss: 0.3543 | g_loss: 5.5839 2023-06-03 22:48:29 | Epoch [26/50] | Batch 120/509 | d_loss: 0.4027 | g_loss: 4.8565 2023-06-03 22:48:31 | Epoch [26/50] | Batch 125/509 | d_loss: 0.3744 | g_loss: 4.6420 2023-06-03 22:48:32 | Epoch [26/50] | Batch 130/509 | d_loss: 0.4646 | g_loss: 4.8669 2023-06-03 22:48:34 | Epoch [26/50] | Batch 135/509 | d_loss: 0.8089 | g_loss: 4.5036 2023-06-03 22:48:36 | Epoch [26/50] | Batch 140/509 | d_loss: 0.4686 | g_loss: 4.3015 2023-06-03 22:48:37 | Epoch [26/50] | Batch 145/509 | d_loss: 0.3827 | g_loss: 3.6007 2023-06-03 22:48:39 | Epoch [26/50] | Batch 150/509 | d_loss: 0.3724 | g_loss: 4.1149 2023-06-03 22:48:41 | Epoch [26/50] | Batch 155/509 | d_loss: 0.5539 | g_loss: 1.3805 2023-06-03 22:48:42 | Epoch [26/50] | Batch 160/509 | d_loss: 0.4747 | g_loss: 4.4667 2023-06-03 22:48:44 | Epoch [26/50] | Batch 165/509 | d_loss: 0.3755 | g_loss: 4.9731 2023-06-03 22:48:45 | Epoch [26/50] | Batch 170/509 | d_loss: 0.4056 | g_loss: 2.5889 2023-06-03 22:48:47 | Epoch [26/50] | Batch 175/509 | d_loss: 0.4275 | g_loss: 4.3962 2023-06-03 22:48:49 | Epoch [26/50] | Batch 180/509 | d_loss: 0.4237 | g_loss: 3.2124 2023-06-03 22:48:50 | Epoch [26/50] | Batch 185/509 | d_loss: 0.3955 | g_loss: 4.6951 2023-06-03 22:48:52 | Epoch [26/50] | Batch 190/509 | d_loss: 0.4401 | g_loss: 5.0076 2023-06-03 22:48:54 | Epoch [26/50] | Batch 195/509 | d_loss: 0.3686 | g_loss: 3.8715 2023-06-03 22:48:55 | Epoch [26/50] | Batch 200/509 | d_loss: 0.3686 | g_loss: 4.5900 2023-06-03 22:48:57 | Epoch [26/50] | Batch 205/509 | d_loss: 0.5088 | g_loss: 3.1791 2023-06-03 22:48:59 | Epoch [26/50] | Batch 210/509 | d_loss: 0.4025 | g_loss: 5.6022 2023-06-03 22:49:00 | Epoch [26/50] | Batch 215/509 | d_loss: 0.4501 | g_loss: 2.6533 2023-06-03 22:49:02 | Epoch [26/50] | Batch 220/509 | d_loss: 0.4229 | g_loss: 4.9449 2023-06-03 22:49:03 | Epoch [26/50] | Batch 225/509 | d_loss: 0.4514 | g_loss: 3.7803 2023-06-03 22:49:05 | Epoch [26/50] | Batch 230/509 | d_loss: 0.4900 | g_loss: 4.5559 2023-06-03 22:49:07 | Epoch [26/50] | Batch 235/509 | d_loss: 0.3498 | g_loss: 4.6083 2023-06-03 22:49:08 | Epoch [26/50] | Batch 240/509 | d_loss: 0.3885 | g_loss: 3.3298 2023-06-03 22:49:10 | Epoch [26/50] | Batch 245/509 | d_loss: 0.3839 | g_loss: 3.7930 2023-06-03 22:49:12 | Epoch [26/50] | Batch 250/509 | d_loss: 0.4343 | g_loss: 3.9644 2023-06-03 22:49:13 | Epoch [26/50] | Batch 255/509 | d_loss: 0.3696 | g_loss: 5.7453 2023-06-03 22:49:15 | Epoch [26/50] | Batch 260/509 | d_loss: 0.3607 | g_loss: 4.9006 2023-06-03 22:49:17 | Epoch [26/50] | Batch 265/509 | d_loss: 0.4119 | g_loss: 3.4544 2023-06-03 22:49:18 | Epoch [26/50] | Batch 270/509 | d_loss: 0.3943 | g_loss: 2.9593 2023-06-03 22:49:20 | Epoch [26/50] | Batch 275/509 | d_loss: 0.3489 | g_loss: 5.9720 2023-06-03 22:49:21 | Epoch [26/50] | Batch 280/509 | d_loss: 2.0648 | g_loss: 0.8606 2023-06-03 22:49:23 | Epoch [26/50] | Batch 285/509 | d_loss: 1.4421 | g_loss: 5.5438 2023-06-03 22:49:25 | Epoch [26/50] | Batch 290/509 | d_loss: 0.5569 | g_loss: 2.7179 2023-06-03 22:49:26 | Epoch [26/50] | Batch 295/509 | d_loss: 0.8361 | g_loss: 1.7007 2023-06-03 22:49:28 | Epoch [26/50] | Batch 300/509 | d_loss: 0.5999 | g_loss: 2.4082 2023-06-03 22:49:30 | Epoch [26/50] | Batch 305/509 | d_loss: 0.7365 | g_loss: 2.0862 2023-06-03 22:49:31 | Epoch [26/50] | Batch 310/509 | d_loss: 0.5178 | g_loss: 4.1788 2023-06-03 22:49:33 | Epoch [26/50] | Batch 315/509 | d_loss: 0.4951 | g_loss: 2.7265 2023-06-03 22:49:35 | Epoch [26/50] | Batch 320/509 | d_loss: 0.7389 | g_loss: 3.0657 2023-06-03 22:49:36 | Epoch [26/50] | Batch 325/509 | d_loss: 0.6165 | g_loss: 3.8097 2023-06-03 22:49:38 | Epoch [26/50] | Batch 330/509 | d_loss: 0.4604 | g_loss: 3.9789 2023-06-03 22:49:40 | Epoch [26/50] | Batch 335/509 | d_loss: 0.5392 | g_loss: 4.5162 2023-06-03 22:49:41 | Epoch [26/50] | Batch 340/509 | d_loss: 0.4728 | g_loss: 2.5853 2023-06-03 22:49:43 | Epoch [26/50] | Batch 345/509 | d_loss: 0.4884 | g_loss: 4.5463 2023-06-03 22:49:44 | Epoch [26/50] | Batch 350/509 | d_loss: 0.6336 | g_loss: 3.0736 2023-06-03 22:49:46 | Epoch [26/50] | Batch 355/509 | d_loss: 0.3963 | g_loss: 3.5088 2023-06-03 22:49:48 | Epoch [26/50] | Batch 360/509 | d_loss: 0.4370 | g_loss: 4.1014 2023-06-03 22:49:49 | Epoch [26/50] | Batch 365/509 | d_loss: 0.4702 | g_loss: 3.2649 2023-06-03 22:49:51 | Epoch [26/50] | Batch 370/509 | d_loss: 0.4087 | g_loss: 3.9304 2023-06-03 22:49:53 | Epoch [26/50] | Batch 375/509 | d_loss: 0.4426 | g_loss: 3.0137 2023-06-03 22:49:54 | Epoch [26/50] | Batch 380/509 | d_loss: 0.4483 | g_loss: 3.0747 2023-06-03 22:49:56 | Epoch [26/50] | Batch 385/509 | d_loss: 0.4297 | g_loss: 3.7554 2023-06-03 22:49:58 | Epoch [26/50] | Batch 390/509 | d_loss: 0.5683 | g_loss: 4.4799 2023-06-03 22:49:59 | Epoch [26/50] | Batch 395/509 | d_loss: 0.3884 | g_loss: 4.3161 2023-06-03 22:50:01 | Epoch [26/50] | Batch 400/509 | d_loss: 0.4207 | g_loss: 3.8640 2023-06-03 22:50:02 | Epoch [26/50] | Batch 405/509 | d_loss: 0.3787 | g_loss: 3.9260 2023-06-03 22:50:04 | Epoch [26/50] | Batch 410/509 | d_loss: 0.3914 | g_loss: 5.0143 2023-06-03 22:50:06 | Epoch [26/50] | Batch 415/509 | d_loss: 0.4682 | g_loss: 3.7536 2023-06-03 22:50:07 | Epoch [26/50] | Batch 420/509 | d_loss: 0.3746 | g_loss: 4.1305 2023-06-03 22:50:09 | Epoch [26/50] | Batch 425/509 | d_loss: 0.3646 | g_loss: 4.1047 2023-06-03 22:50:11 | Epoch [26/50] | Batch 430/509 | d_loss: 0.3915 | g_loss: 4.8120 2023-06-03 22:50:12 | Epoch [26/50] | Batch 435/509 | d_loss: 0.3858 | g_loss: 4.3419 2023-06-03 22:50:14 | Epoch [26/50] | Batch 440/509 | d_loss: 0.3947 | g_loss: 3.2137 2023-06-03 22:50:16 | Epoch [26/50] | Batch 445/509 | d_loss: 0.3962 | g_loss: 4.5032 2023-06-03 22:50:17 | Epoch [26/50] | Batch 450/509 | d_loss: 0.4824 | g_loss: 2.5557 2023-06-03 22:50:19 | Epoch [26/50] | Batch 455/509 | d_loss: 0.3885 | g_loss: 4.2258 2023-06-03 22:50:21 | Epoch [26/50] | Batch 460/509 | d_loss: 0.4278 | g_loss: 4.0480 2023-06-03 22:50:22 | Epoch [26/50] | Batch 465/509 | d_loss: 0.3721 | g_loss: 4.6783 2023-06-03 22:50:24 | Epoch [26/50] | Batch 470/509 | d_loss: 0.4042 | g_loss: 3.7540 2023-06-03 22:50:25 | Epoch [26/50] | Batch 475/509 | d_loss: 0.3895 | g_loss: 3.9974 2023-06-03 22:50:27 | Epoch [26/50] | Batch 480/509 | d_loss: 0.3875 | g_loss: 3.9276 2023-06-03 22:50:29 | Epoch [26/50] | Batch 485/509 | d_loss: 0.4497 | g_loss: 5.1750 2023-06-03 22:50:30 | Epoch [26/50] | Batch 490/509 | d_loss: 0.4254 | g_loss: 3.1525 2023-06-03 22:50:32 | Epoch [26/50] | Batch 495/509 | d_loss: 0.4103 | g_loss: 3.0290 2023-06-03 22:50:34 | Epoch [26/50] | Batch 500/509 | d_loss: 0.3698 | g_loss: 4.8531 2023-06-03 22:50:35 | Epoch [26/50] | Batch 505/509 | d_loss: 0.4462 | g_loss: 4.6067
2023-06-03 22:50:38 | Epoch [27/50] | Batch 0/509 | d_loss: 0.3594 | g_loss: 4.1481 2023-06-03 22:50:39 | Epoch [27/50] | Batch 5/509 | d_loss: 0.3601 | g_loss: 4.7239 2023-06-03 22:50:41 | Epoch [27/50] | Batch 10/509 | d_loss: 1.3477 | g_loss: 9.4124 2023-06-03 22:50:43 | Epoch [27/50] | Batch 15/509 | d_loss: 0.6787 | g_loss: 2.1496 2023-06-03 22:50:44 | Epoch [27/50] | Batch 20/509 | d_loss: 0.4008 | g_loss: 4.0180 2023-06-03 22:50:46 | Epoch [27/50] | Batch 25/509 | d_loss: 0.3898 | g_loss: 3.8762 2023-06-03 22:50:48 | Epoch [27/50] | Batch 30/509 | d_loss: 0.4216 | g_loss: 6.0507 2023-06-03 22:50:49 | Epoch [27/50] | Batch 35/509 | d_loss: 0.4709 | g_loss: 3.8625 2023-06-03 22:50:51 | Epoch [27/50] | Batch 40/509 | d_loss: 0.5023 | g_loss: 2.4139 2023-06-03 22:50:52 | Epoch [27/50] | Batch 45/509 | d_loss: 0.4044 | g_loss: 4.5486 2023-06-03 22:50:54 | Epoch [27/50] | Batch 50/509 | d_loss: 0.3562 | g_loss: 4.4591 2023-06-03 22:50:56 | Epoch [27/50] | Batch 55/509 | d_loss: 0.4174 | g_loss: 4.0183 2023-06-03 22:50:57 | Epoch [27/50] | Batch 60/509 | d_loss: 0.3663 | g_loss: 4.9036 2023-06-03 22:50:59 | Epoch [27/50] | Batch 65/509 | d_loss: 0.3824 | g_loss: 4.1403 2023-06-03 22:51:01 | Epoch [27/50] | Batch 70/509 | d_loss: 0.3661 | g_loss: 4.1659 2023-06-03 22:51:02 | Epoch [27/50] | Batch 75/509 | d_loss: 0.4373 | g_loss: 5.1625 2023-06-03 22:51:04 | Epoch [27/50] | Batch 80/509 | d_loss: 0.4827 | g_loss: 3.2725 2023-06-03 22:51:06 | Epoch [27/50] | Batch 85/509 | d_loss: 0.5157 | g_loss: 2.7269 2023-06-03 22:51:07 | Epoch [27/50] | Batch 90/509 | d_loss: 0.4694 | g_loss: 4.1637 2023-06-03 22:51:09 | Epoch [27/50] | Batch 95/509 | d_loss: 0.3884 | g_loss: 5.2166 2023-06-03 22:51:10 | Epoch [27/50] | Batch 100/509 | d_loss: 0.5849 | g_loss: 1.6485 2023-06-03 22:51:12 | Epoch [27/50] | Batch 105/509 | d_loss: 0.3826 | g_loss: 5.2541 2023-06-03 22:51:14 | Epoch [27/50] | Batch 110/509 | d_loss: 0.4273 | g_loss: 2.8588 2023-06-03 22:51:15 | Epoch [27/50] | Batch 115/509 | d_loss: 0.3630 | g_loss: 4.7128 2023-06-03 22:51:17 | Epoch [27/50] | Batch 120/509 | d_loss: 0.4012 | g_loss: 3.0245 2023-06-03 22:51:19 | Epoch [27/50] | Batch 125/509 | d_loss: 0.4241 | g_loss: 3.2445 2023-06-03 22:51:20 | Epoch [27/50] | Batch 130/509 | d_loss: 0.3580 | g_loss: 5.3488 2023-06-03 22:51:22 | Epoch [27/50] | Batch 135/509 | d_loss: 0.4354 | g_loss: 2.4338 2023-06-03 22:51:24 | Epoch [27/50] | Batch 140/509 | d_loss: 0.5299 | g_loss: 4.1179 2023-06-03 22:51:25 | Epoch [27/50] | Batch 145/509 | d_loss: 0.3963 | g_loss: 4.9314 2023-06-03 22:51:27 | Epoch [27/50] | Batch 150/509 | d_loss: 0.3767 | g_loss: 4.9374 2023-06-03 22:51:28 | Epoch [27/50] | Batch 155/509 | d_loss: 0.3646 | g_loss: 4.9494 2023-06-03 22:51:30 | Epoch [27/50] | Batch 160/509 | d_loss: 0.4018 | g_loss: 4.5570 2023-06-03 22:51:32 | Epoch [27/50] | Batch 165/509 | d_loss: 0.4349 | g_loss: 3.5339 2023-06-03 22:51:33 | Epoch [27/50] | Batch 170/509 | d_loss: 0.3633 | g_loss: 4.7049 2023-06-03 22:51:35 | Epoch [27/50] | Batch 175/509 | d_loss: 0.4597 | g_loss: 2.8712 2023-06-03 22:51:37 | Epoch [27/50] | Batch 180/509 | d_loss: 0.4943 | g_loss: 3.6350 2023-06-03 22:51:38 | Epoch [27/50] | Batch 185/509 | d_loss: 0.4017 | g_loss: 4.3054 2023-06-03 22:51:40 | Epoch [27/50] | Batch 190/509 | d_loss: 0.3617 | g_loss: 4.8874 2023-06-03 22:51:42 | Epoch [27/50] | Batch 195/509 | d_loss: 0.3657 | g_loss: 4.2485 2023-06-03 22:51:43 | Epoch [27/50] | Batch 200/509 | d_loss: 0.4740 | g_loss: 3.2140 2023-06-03 22:51:45 | Epoch [27/50] | Batch 205/509 | d_loss: 0.4751 | g_loss: 5.5642 2023-06-03 22:51:46 | Epoch [27/50] | Batch 210/509 | d_loss: 0.3594 | g_loss: 4.0115 2023-06-03 22:51:48 | Epoch [27/50] | Batch 215/509 | d_loss: 0.3505 | g_loss: 5.9514 2023-06-03 22:51:50 | Epoch [27/50] | Batch 220/509 | d_loss: 0.5120 | g_loss: 5.5405 2023-06-03 22:51:51 | Epoch [27/50] | Batch 225/509 | d_loss: 0.3671 | g_loss: 3.1146 2023-06-03 22:51:53 | Epoch [27/50] | Batch 230/509 | d_loss: 0.3722 | g_loss: 4.7992 2023-06-03 22:51:55 | Epoch [27/50] | Batch 235/509 | d_loss: 0.3585 | g_loss: 3.9690 2023-06-03 22:51:56 | Epoch [27/50] | Batch 240/509 | d_loss: 0.3820 | g_loss: 4.3186 2023-06-03 22:51:58 | Epoch [27/50] | Batch 245/509 | d_loss: 0.3920 | g_loss: 3.5837 2023-06-03 22:52:00 | Epoch [27/50] | Batch 250/509 | d_loss: 0.3572 | g_loss: 5.7375 2023-06-03 22:52:01 | Epoch [27/50] | Batch 255/509 | d_loss: 0.3775 | g_loss: 3.4961 2023-06-03 22:52:03 | Epoch [27/50] | Batch 260/509 | d_loss: 0.3499 | g_loss: 5.4243 2023-06-03 22:52:05 | Epoch [27/50] | Batch 265/509 | d_loss: 0.6552 | g_loss: 5.7026 2023-06-03 22:52:06 | Epoch [27/50] | Batch 270/509 | d_loss: 0.5252 | g_loss: 2.6554 2023-06-03 22:52:08 | Epoch [27/50] | Batch 275/509 | d_loss: 0.3603 | g_loss: 4.3994 2023-06-03 22:52:09 | Epoch [27/50] | Batch 280/509 | d_loss: 0.5239 | g_loss: 5.3602 2023-06-03 22:52:11 | Epoch [27/50] | Batch 285/509 | d_loss: 0.5244 | g_loss: 3.3287 2023-06-03 22:52:13 | Epoch [27/50] | Batch 290/509 | d_loss: 0.5271 | g_loss: 2.7066 2023-06-03 22:52:14 | Epoch [27/50] | Batch 295/509 | d_loss: 0.3960 | g_loss: 3.7448 2023-06-03 22:52:16 | Epoch [27/50] | Batch 300/509 | d_loss: 0.3787 | g_loss: 4.6827 2023-06-03 22:52:18 | Epoch [27/50] | Batch 305/509 | d_loss: 0.4048 | g_loss: 3.1658 2023-06-03 22:52:19 | Epoch [27/50] | Batch 310/509 | d_loss: 0.4607 | g_loss: 2.8336 2023-06-03 22:52:21 | Epoch [27/50] | Batch 315/509 | d_loss: 0.3591 | g_loss: 4.9868 2023-06-03 22:52:23 | Epoch [27/50] | Batch 320/509 | d_loss: 0.4517 | g_loss: 4.8657 2023-06-03 22:52:24 | Epoch [27/50] | Batch 325/509 | d_loss: 0.3541 | g_loss: 5.1798 2023-06-03 22:52:26 | Epoch [27/50] | Batch 330/509 | d_loss: 0.4877 | g_loss: 4.3939 2023-06-03 22:52:27 | Epoch [27/50] | Batch 335/509 | d_loss: 0.3951 | g_loss: 4.5254 2023-06-03 22:52:29 | Epoch [27/50] | Batch 340/509 | d_loss: 0.3739 | g_loss: 4.5534 2023-06-03 22:52:31 | Epoch [27/50] | Batch 345/509 | d_loss: 0.3632 | g_loss: 4.8608 2023-06-03 22:52:32 | Epoch [27/50] | Batch 350/509 | d_loss: 0.4125 | g_loss: 4.3567 2023-06-03 22:52:34 | Epoch [27/50] | Batch 355/509 | d_loss: 0.3963 | g_loss: 4.6495 2023-06-03 22:52:36 | Epoch [27/50] | Batch 360/509 | d_loss: 0.3858 | g_loss: 4.7186 2023-06-03 22:52:37 | Epoch [27/50] | Batch 365/509 | d_loss: 0.4053 | g_loss: 4.1405 2023-06-03 22:52:39 | Epoch [27/50] | Batch 370/509 | d_loss: 0.3682 | g_loss: 5.0841 2023-06-03 22:52:41 | Epoch [27/50] | Batch 375/509 | d_loss: 0.4109 | g_loss: 4.1510 2023-06-03 22:52:42 | Epoch [27/50] | Batch 380/509 | d_loss: 0.4107 | g_loss: 6.0005 2023-06-03 22:52:44 | Epoch [27/50] | Batch 385/509 | d_loss: 0.3680 | g_loss: 4.5321 2023-06-03 22:52:45 | Epoch [27/50] | Batch 390/509 | d_loss: 0.3569 | g_loss: 5.7240 2023-06-03 22:52:47 | Epoch [27/50] | Batch 395/509 | d_loss: 0.4884 | g_loss: 2.1161 2023-06-03 22:52:49 | Epoch [27/50] | Batch 400/509 | d_loss: 0.3442 | g_loss: 6.5059 2023-06-03 22:52:50 | Epoch [27/50] | Batch 405/509 | d_loss: 0.4304 | g_loss: 2.8195 2023-06-03 22:52:52 | Epoch [27/50] | Batch 410/509 | d_loss: 0.3712 | g_loss: 4.1640 2023-06-03 22:52:54 | Epoch [27/50] | Batch 415/509 | d_loss: 0.3423 | g_loss: 4.9158 2023-06-03 22:52:55 | Epoch [27/50] | Batch 420/509 | d_loss: 0.3659 | g_loss: 4.8112 2023-06-03 22:52:57 | Epoch [27/50] | Batch 425/509 | d_loss: 0.3673 | g_loss: 3.5673 2023-06-03 22:52:59 | Epoch [27/50] | Batch 430/509 | d_loss: 0.3858 | g_loss: 4.5997 2023-06-03 22:53:00 | Epoch [27/50] | Batch 435/509 | d_loss: 0.3662 | g_loss: 4.9419 2023-06-03 22:53:02 | Epoch [27/50] | Batch 440/509 | d_loss: 0.7704 | g_loss: 7.4660 2023-06-03 22:53:03 | Epoch [27/50] | Batch 445/509 | d_loss: 3.4550 | g_loss: 8.4861 2023-06-03 22:53:05 | Epoch [27/50] | Batch 450/509 | d_loss: 0.7455 | g_loss: 5.0268 2023-06-03 22:53:07 | Epoch [27/50] | Batch 455/509 | d_loss: 0.5014 | g_loss: 3.1264 2023-06-03 22:53:08 | Epoch [27/50] | Batch 460/509 | d_loss: 0.6795 | g_loss: 1.9066 2023-06-03 22:53:10 | Epoch [27/50] | Batch 465/509 | d_loss: 0.5220 | g_loss: 3.3784 2023-06-03 22:53:12 | Epoch [27/50] | Batch 470/509 | d_loss: 0.5452 | g_loss: 3.6022 2023-06-03 22:53:13 | Epoch [27/50] | Batch 475/509 | d_loss: 0.4445 | g_loss: 3.6802 2023-06-03 22:53:15 | Epoch [27/50] | Batch 480/509 | d_loss: 0.5046 | g_loss: 1.9438 2023-06-03 22:53:17 | Epoch [27/50] | Batch 485/509 | d_loss: 0.5407 | g_loss: 2.5214 2023-06-03 22:53:18 | Epoch [27/50] | Batch 490/509 | d_loss: 0.5122 | g_loss: 3.1675 2023-06-03 22:53:20 | Epoch [27/50] | Batch 495/509 | d_loss: 0.4361 | g_loss: 4.0477 2023-06-03 22:53:21 | Epoch [27/50] | Batch 500/509 | d_loss: 0.3978 | g_loss: 4.6801 2023-06-03 22:53:23 | Epoch [27/50] | Batch 505/509 | d_loss: 0.4043 | g_loss: 3.7679
2023-06-03 22:53:25 | Epoch [28/50] | Batch 0/509 | d_loss: 0.3733 | g_loss: 4.7158 2023-06-03 22:53:27 | Epoch [28/50] | Batch 5/509 | d_loss: 0.3874 | g_loss: 4.9384 2023-06-03 22:53:29 | Epoch [28/50] | Batch 10/509 | d_loss: 0.3893 | g_loss: 4.0550 2023-06-03 22:53:30 | Epoch [28/50] | Batch 15/509 | d_loss: 0.3812 | g_loss: 3.7751 2023-06-03 22:53:32 | Epoch [28/50] | Batch 20/509 | d_loss: 0.3848 | g_loss: 4.3727 2023-06-03 22:53:34 | Epoch [28/50] | Batch 25/509 | d_loss: 0.3635 | g_loss: 4.7984 2023-06-03 22:53:35 | Epoch [28/50] | Batch 30/509 | d_loss: 0.3795 | g_loss: 4.3791 2023-06-03 22:53:37 | Epoch [28/50] | Batch 35/509 | d_loss: 0.4401 | g_loss: 3.6867 2023-06-03 22:53:39 | Epoch [28/50] | Batch 40/509 | d_loss: 0.4189 | g_loss: 4.1780 2023-06-03 22:53:40 | Epoch [28/50] | Batch 45/509 | d_loss: 0.5424 | g_loss: 4.5838 2023-06-03 22:53:42 | Epoch [28/50] | Batch 50/509 | d_loss: 0.3978 | g_loss: 3.7152 2023-06-03 22:53:44 | Epoch [28/50] | Batch 55/509 | d_loss: 0.4595 | g_loss: 4.1449 2023-06-03 22:53:45 | Epoch [28/50] | Batch 60/509 | d_loss: 0.3725 | g_loss: 6.9189 2023-06-03 22:53:47 | Epoch [28/50] | Batch 65/509 | d_loss: 0.4090 | g_loss: 3.2956 2023-06-03 22:53:48 | Epoch [28/50] | Batch 70/509 | d_loss: 0.3675 | g_loss: 4.3988 2023-06-03 22:53:50 | Epoch [28/50] | Batch 75/509 | d_loss: 0.3526 | g_loss: 4.8839 2023-06-03 22:53:52 | Epoch [28/50] | Batch 80/509 | d_loss: 0.3722 | g_loss: 4.1633 2023-06-03 22:53:53 | Epoch [28/50] | Batch 85/509 | d_loss: 0.5265 | g_loss: 5.4784 2023-06-03 22:53:55 | Epoch [28/50] | Batch 90/509 | d_loss: 0.4813 | g_loss: 2.6090 2023-06-03 22:53:57 | Epoch [28/50] | Batch 95/509 | d_loss: 0.3743 | g_loss: 4.5072 2023-06-03 22:53:58 | Epoch [28/50] | Batch 100/509 | d_loss: 0.3893 | g_loss: 5.0509 2023-06-03 22:54:00 | Epoch [28/50] | Batch 105/509 | d_loss: 0.3865 | g_loss: 4.9697 2023-06-03 22:54:02 | Epoch [28/50] | Batch 110/509 | d_loss: 0.3689 | g_loss: 5.5612 2023-06-03 22:54:03 | Epoch [28/50] | Batch 115/509 | d_loss: 0.4339 | g_loss: 3.7757 2023-06-03 22:54:05 | Epoch [28/50] | Batch 120/509 | d_loss: 0.3833 | g_loss: 4.5064 2023-06-03 22:54:07 | Epoch [28/50] | Batch 125/509 | d_loss: 0.3652 | g_loss: 4.4207 2023-06-03 22:54:08 | Epoch [28/50] | Batch 130/509 | d_loss: 0.4167 | g_loss: 3.6536 2023-06-03 22:54:10 | Epoch [28/50] | Batch 135/509 | d_loss: 0.3798 | g_loss: 4.3261 2023-06-03 22:54:11 | Epoch [28/50] | Batch 140/509 | d_loss: 0.3641 | g_loss: 4.0410 2023-06-03 22:54:13 | Epoch [28/50] | Batch 145/509 | d_loss: 0.3596 | g_loss: 4.7676 2023-06-03 22:54:15 | Epoch [28/50] | Batch 150/509 | d_loss: 0.3703 | g_loss: 4.2030 2023-06-03 22:54:16 | Epoch [28/50] | Batch 155/509 | d_loss: 0.3590 | g_loss: 3.9185 2023-06-03 22:54:18 | Epoch [28/50] | Batch 160/509 | d_loss: 0.3544 | g_loss: 4.6090 2023-06-03 22:54:20 | Epoch [28/50] | Batch 165/509 | d_loss: 0.5450 | g_loss: 5.4232 2023-06-03 22:54:21 | Epoch [28/50] | Batch 170/509 | d_loss: 0.3671 | g_loss: 4.6949 2023-06-03 22:54:23 | Epoch [28/50] | Batch 175/509 | d_loss: 0.4060 | g_loss: 3.8569 2023-06-03 22:54:25 | Epoch [28/50] | Batch 180/509 | d_loss: 0.3512 | g_loss: 4.8877 2023-06-03 22:54:26 | Epoch [28/50] | Batch 185/509 | d_loss: 0.5123 | g_loss: 5.6976 2023-06-03 22:54:28 | Epoch [28/50] | Batch 190/509 | d_loss: 0.7013 | g_loss: 1.8138 2023-06-03 22:54:30 | Epoch [28/50] | Batch 195/509 | d_loss: 0.5499 | g_loss: 5.3823 2023-06-03 22:54:31 | Epoch [28/50] | Batch 200/509 | d_loss: 0.3912 | g_loss: 5.0203 2023-06-03 22:54:33 | Epoch [28/50] | Batch 205/509 | d_loss: 0.3559 | g_loss: 4.4769 2023-06-03 22:54:34 | Epoch [28/50] | Batch 210/509 | d_loss: 0.4100 | g_loss: 4.2160 2023-06-03 22:54:36 | Epoch [28/50] | Batch 215/509 | d_loss: 0.3519 | g_loss: 6.8888 2023-06-03 22:54:38 | Epoch [28/50] | Batch 220/509 | d_loss: 0.3939 | g_loss: 4.3106 2023-06-03 22:54:39 | Epoch [28/50] | Batch 225/509 | d_loss: 0.3646 | g_loss: 7.7072 2023-06-03 22:54:41 | Epoch [28/50] | Batch 230/509 | d_loss: 0.3788 | g_loss: 2.9799 2023-06-03 22:54:43 | Epoch [28/50] | Batch 235/509 | d_loss: 0.3576 | g_loss: 4.5219 2023-06-03 22:54:44 | Epoch [28/50] | Batch 240/509 | d_loss: 0.3753 | g_loss: 4.8783 2023-06-03 22:54:46 | Epoch [28/50] | Batch 245/509 | d_loss: 0.3816 | g_loss: 4.4819 2023-06-03 22:54:48 | Epoch [28/50] | Batch 250/509 | d_loss: 0.3589 | g_loss: 5.1480 2023-06-03 22:54:49 | Epoch [28/50] | Batch 255/509 | d_loss: 0.3640 | g_loss: 4.0135 2023-06-03 22:54:51 | Epoch [28/50] | Batch 260/509 | d_loss: 0.3538 | g_loss: 4.9970 2023-06-03 22:54:52 | Epoch [28/50] | Batch 265/509 | d_loss: 0.4325 | g_loss: 3.8902 2023-06-03 22:54:54 | Epoch [28/50] | Batch 270/509 | d_loss: 0.3943 | g_loss: 3.7772 2023-06-03 22:54:56 | Epoch [28/50] | Batch 275/509 | d_loss: 0.3614 | g_loss: 4.3884 2023-06-03 22:54:57 | Epoch [28/50] | Batch 280/509 | d_loss: 0.3912 | g_loss: 5.0514 2023-06-03 22:54:59 | Epoch [28/50] | Batch 285/509 | d_loss: 0.3742 | g_loss: 3.7129 2023-06-03 22:55:01 | Epoch [28/50] | Batch 290/509 | d_loss: 0.3527 | g_loss: 5.3295 2023-06-03 22:55:02 | Epoch [28/50] | Batch 295/509 | d_loss: 0.3400 | g_loss: 5.6330 2023-06-03 22:55:04 | Epoch [28/50] | Batch 300/509 | d_loss: 0.3882 | g_loss: 3.7542 2023-06-03 22:55:06 | Epoch [28/50] | Batch 305/509 | d_loss: 0.4088 | g_loss: 2.5631 2023-06-03 22:55:07 | Epoch [28/50] | Batch 310/509 | d_loss: 0.3785 | g_loss: 4.0075 2023-06-03 22:55:09 | Epoch [28/50] | Batch 315/509 | d_loss: 0.4012 | g_loss: 4.8819 2023-06-03 22:55:11 | Epoch [28/50] | Batch 320/509 | d_loss: 0.3489 | g_loss: 5.4585 2023-06-03 22:55:12 | Epoch [28/50] | Batch 325/509 | d_loss: 0.3692 | g_loss: 4.7968 2023-06-03 22:55:14 | Epoch [28/50] | Batch 330/509 | d_loss: 0.3744 | g_loss: 4.5275 2023-06-03 22:55:15 | Epoch [28/50] | Batch 335/509 | d_loss: 0.3774 | g_loss: 5.0776 2023-06-03 22:55:17 | Epoch [28/50] | Batch 340/509 | d_loss: 0.3699 | g_loss: 4.0158 2023-06-03 22:55:19 | Epoch [28/50] | Batch 345/509 | d_loss: 0.3639 | g_loss: 5.2907 2023-06-03 22:55:20 | Epoch [28/50] | Batch 350/509 | d_loss: 0.3710 | g_loss: 4.0697 2023-06-03 22:55:22 | Epoch [28/50] | Batch 355/509 | d_loss: 0.7101 | g_loss: 4.3762 2023-06-03 22:55:24 | Epoch [28/50] | Batch 360/509 | d_loss: 0.8032 | g_loss: 4.6931 2023-06-03 22:55:25 | Epoch [28/50] | Batch 365/509 | d_loss: 0.4681 | g_loss: 3.1844 2023-06-03 22:55:27 | Epoch [28/50] | Batch 370/509 | d_loss: 0.5528 | g_loss: 3.6230 2023-06-03 22:55:29 | Epoch [28/50] | Batch 375/509 | d_loss: 0.4935 | g_loss: 3.3678 2023-06-03 22:55:30 | Epoch [28/50] | Batch 380/509 | d_loss: 0.4219 | g_loss: 3.8535 2023-06-03 22:55:32 | Epoch [28/50] | Batch 385/509 | d_loss: 0.5452 | g_loss: 3.4268 2023-06-03 22:55:34 | Epoch [28/50] | Batch 390/509 | d_loss: 0.8161 | g_loss: 6.4827 2023-06-03 22:55:35 | Epoch [28/50] | Batch 395/509 | d_loss: 0.4253 | g_loss: 4.1118 2023-06-03 22:55:37 | Epoch [28/50] | Batch 400/509 | d_loss: 0.5194 | g_loss: 3.4702 2023-06-03 22:55:38 | Epoch [28/50] | Batch 405/509 | d_loss: 0.4248 | g_loss: 4.2238 2023-06-03 22:55:40 | Epoch [28/50] | Batch 410/509 | d_loss: 0.4385 | g_loss: 2.9775 2023-06-03 22:55:42 | Epoch [28/50] | Batch 415/509 | d_loss: 0.4261 | g_loss: 4.3245 2023-06-03 22:55:43 | Epoch [28/50] | Batch 420/509 | d_loss: 0.5185 | g_loss: 2.7184 2023-06-03 22:55:45 | Epoch [28/50] | Batch 425/509 | d_loss: 0.4281 | g_loss: 3.6547 2023-06-03 22:55:47 | Epoch [28/50] | Batch 430/509 | d_loss: 1.1289 | g_loss: 7.4184 2023-06-03 22:55:48 | Epoch [28/50] | Batch 435/509 | d_loss: 0.4180 | g_loss: 4.8845 2023-06-03 22:55:50 | Epoch [28/50] | Batch 440/509 | d_loss: 0.4356 | g_loss: 4.2541 2023-06-03 22:55:52 | Epoch [28/50] | Batch 445/509 | d_loss: 0.3942 | g_loss: 3.2189 2023-06-03 22:55:53 | Epoch [28/50] | Batch 450/509 | d_loss: 0.4567 | g_loss: 2.9088 2023-06-03 22:55:55 | Epoch [28/50] | Batch 455/509 | d_loss: 0.3714 | g_loss: 4.8003 2023-06-03 22:55:56 | Epoch [28/50] | Batch 460/509 | d_loss: 0.4164 | g_loss: 3.8889 2023-06-03 22:55:58 | Epoch [28/50] | Batch 465/509 | d_loss: 0.4738 | g_loss: 4.8020 2023-06-03 22:56:00 | Epoch [28/50] | Batch 470/509 | d_loss: 0.6981 | g_loss: 4.9735 2023-06-03 22:56:01 | Epoch [28/50] | Batch 475/509 | d_loss: 0.3942 | g_loss: 3.7878 2023-06-03 22:56:03 | Epoch [28/50] | Batch 480/509 | d_loss: 0.3800 | g_loss: 4.1005 2023-06-03 22:56:05 | Epoch [28/50] | Batch 485/509 | d_loss: 0.3703 | g_loss: 4.2512 2023-06-03 22:56:06 | Epoch [28/50] | Batch 490/509 | d_loss: 0.3665 | g_loss: 3.9070 2023-06-03 22:56:08 | Epoch [28/50] | Batch 495/509 | d_loss: 0.4016 | g_loss: 5.0498 2023-06-03 22:56:10 | Epoch [28/50] | Batch 500/509 | d_loss: 0.3533 | g_loss: 4.4921 2023-06-03 22:56:11 | Epoch [28/50] | Batch 505/509 | d_loss: 0.4457 | g_loss: 4.5920
2023-06-03 22:56:14 | Epoch [29/50] | Batch 0/509 | d_loss: 0.3817 | g_loss: 5.5472 2023-06-03 22:56:15 | Epoch [29/50] | Batch 5/509 | d_loss: 0.4297 | g_loss: 3.9801 2023-06-03 22:56:17 | Epoch [29/50] | Batch 10/509 | d_loss: 0.4099 | g_loss: 4.1047 2023-06-03 22:56:19 | Epoch [29/50] | Batch 15/509 | d_loss: 0.4010 | g_loss: 3.4954 2023-06-03 22:56:20 | Epoch [29/50] | Batch 20/509 | d_loss: 0.3776 | g_loss: 5.0064 2023-06-03 22:56:22 | Epoch [29/50] | Batch 25/509 | d_loss: 0.3766 | g_loss: 4.3252 2023-06-03 22:56:24 | Epoch [29/50] | Batch 30/509 | d_loss: 0.3461 | g_loss: 5.8989 2023-06-03 22:56:25 | Epoch [29/50] | Batch 35/509 | d_loss: 0.4792 | g_loss: 4.0567 2023-06-03 22:56:27 | Epoch [29/50] | Batch 40/509 | d_loss: 0.5630 | g_loss: 3.5577 2023-06-03 22:56:29 | Epoch [29/50] | Batch 45/509 | d_loss: 0.4847 | g_loss: 4.7778 2023-06-03 22:56:30 | Epoch [29/50] | Batch 50/509 | d_loss: 0.5336 | g_loss: 2.5203 2023-06-03 22:56:32 | Epoch [29/50] | Batch 55/509 | d_loss: 0.4066 | g_loss: 4.3881 2023-06-03 22:56:33 | Epoch [29/50] | Batch 60/509 | d_loss: 0.4019 | g_loss: 3.4458 2023-06-03 22:56:35 | Epoch [29/50] | Batch 65/509 | d_loss: 0.3896 | g_loss: 4.8016 2023-06-03 22:56:37 | Epoch [29/50] | Batch 70/509 | d_loss: 0.5107 | g_loss: 4.6053 2023-06-03 22:56:38 | Epoch [29/50] | Batch 75/509 | d_loss: 0.3981 | g_loss: 3.4784 2023-06-03 22:56:40 | Epoch [29/50] | Batch 80/509 | d_loss: 0.3782 | g_loss: 4.7871 2023-06-03 22:56:42 | Epoch [29/50] | Batch 85/509 | d_loss: 0.3965 | g_loss: 5.0233 2023-06-03 22:56:43 | Epoch [29/50] | Batch 90/509 | d_loss: 0.4208 | g_loss: 4.6437 2023-06-03 22:56:45 | Epoch [29/50] | Batch 95/509 | d_loss: 0.3874 | g_loss: 4.3444 2023-06-03 22:56:47 | Epoch [29/50] | Batch 100/509 | d_loss: 0.3782 | g_loss: 6.0685 2023-06-03 22:56:48 | Epoch [29/50] | Batch 105/509 | d_loss: 0.3908 | g_loss: 3.7249 2023-06-03 22:56:50 | Epoch [29/50] | Batch 110/509 | d_loss: 0.3520 | g_loss: 5.2292 2023-06-03 22:56:52 | Epoch [29/50] | Batch 115/509 | d_loss: 0.4753 | g_loss: 3.2788 2023-06-03 22:56:53 | Epoch [29/50] | Batch 120/509 | d_loss: 0.4978 | g_loss: 2.2245 2023-06-03 22:56:55 | Epoch [29/50] | Batch 125/509 | d_loss: 0.3848 | g_loss: 4.5834 2023-06-03 22:56:56 | Epoch [29/50] | Batch 130/509 | d_loss: 0.4313 | g_loss: 4.8912 2023-06-03 22:56:58 | Epoch [29/50] | Batch 135/509 | d_loss: 0.5182 | g_loss: 5.0988 2023-06-03 22:57:00 | Epoch [29/50] | Batch 140/509 | d_loss: 0.5629 | g_loss: 3.4688 2023-06-03 22:57:01 | Epoch [29/50] | Batch 145/509 | d_loss: 0.4239 | g_loss: 5.1557 2023-06-03 22:57:03 | Epoch [29/50] | Batch 150/509 | d_loss: 0.3742 | g_loss: 4.4056 2023-06-03 22:57:05 | Epoch [29/50] | Batch 155/509 | d_loss: 0.3902 | g_loss: 3.7331 2023-06-03 22:57:06 | Epoch [29/50] | Batch 160/509 | d_loss: 0.3880 | g_loss: 3.7539 2023-06-03 22:57:08 | Epoch [29/50] | Batch 165/509 | d_loss: 0.3717 | g_loss: 5.0997 2023-06-03 22:57:10 | Epoch [29/50] | Batch 170/509 | d_loss: 0.3572 | g_loss: 6.1785 2023-06-03 22:57:11 | Epoch [29/50] | Batch 175/509 | d_loss: 0.4014 | g_loss: 4.7729 2023-06-03 22:57:13 | Epoch [29/50] | Batch 180/509 | d_loss: 0.4099 | g_loss: 4.3620 2023-06-03 22:57:14 | Epoch [29/50] | Batch 185/509 | d_loss: 0.3537 | g_loss: 7.1655 2023-06-03 22:57:16 | Epoch [29/50] | Batch 190/509 | d_loss: 0.4297 | g_loss: 3.0067 2023-06-03 22:57:18 | Epoch [29/50] | Batch 195/509 | d_loss: 0.3554 | g_loss: 4.0025 2023-06-03 22:57:19 | Epoch [29/50] | Batch 200/509 | d_loss: 0.3596 | g_loss: 5.1123 2023-06-03 22:57:21 | Epoch [29/50] | Batch 205/509 | d_loss: 0.5238 | g_loss: 2.4767 2023-06-03 22:57:23 | Epoch [29/50] | Batch 210/509 | d_loss: 0.3598 | g_loss: 3.7570 2023-06-03 22:57:24 | Epoch [29/50] | Batch 215/509 | d_loss: 0.4036 | g_loss: 4.1179 2023-06-03 22:57:26 | Epoch [29/50] | Batch 220/509 | d_loss: 0.3499 | g_loss: 6.0765 2023-06-03 22:57:28 | Epoch [29/50] | Batch 225/509 | d_loss: 0.3606 | g_loss: 5.1176 2023-06-03 22:57:29 | Epoch [29/50] | Batch 230/509 | d_loss: 0.3571 | g_loss: 6.3350 2023-06-03 22:57:31 | Epoch [29/50] | Batch 235/509 | d_loss: 0.3730 | g_loss: 5.8011 2023-06-03 22:57:32 | Epoch [29/50] | Batch 240/509 | d_loss: 1.0581 | g_loss: 7.9324 2023-06-03 22:57:34 | Epoch [29/50] | Batch 245/509 | d_loss: 0.5479 | g_loss: 4.8331 2023-06-03 22:57:36 | Epoch [29/50] | Batch 250/509 | d_loss: 0.4015 | g_loss: 3.6579 2023-06-03 22:57:37 | Epoch [29/50] | Batch 255/509 | d_loss: 0.4325 | g_loss: 4.0716 2023-06-03 22:57:39 | Epoch [29/50] | Batch 260/509 | d_loss: 0.3963 | g_loss: 3.7732 2023-06-03 22:57:41 | Epoch [29/50] | Batch 265/509 | d_loss: 0.5370 | g_loss: 5.8346 2023-06-03 22:57:42 | Epoch [29/50] | Batch 270/509 | d_loss: 0.9508 | g_loss: 6.2782 2023-06-03 22:57:44 | Epoch [29/50] | Batch 275/509 | d_loss: 0.3623 | g_loss: 5.9458 2023-06-03 22:57:46 | Epoch [29/50] | Batch 280/509 | d_loss: 0.3933 | g_loss: 3.5846 2023-06-03 22:57:47 | Epoch [29/50] | Batch 285/509 | d_loss: 0.4386 | g_loss: 2.3843 2023-06-03 22:57:49 | Epoch [29/50] | Batch 290/509 | d_loss: 0.4653 | g_loss: 5.5361 2023-06-03 22:57:50 | Epoch [29/50] | Batch 295/509 | d_loss: 0.4681 | g_loss: 2.6112 2023-06-03 22:57:52 | Epoch [29/50] | Batch 300/509 | d_loss: 0.8328 | g_loss: 2.6670 2023-06-03 22:57:54 | Epoch [29/50] | Batch 305/509 | d_loss: 0.3897 | g_loss: 4.7108 2023-06-03 22:57:55 | Epoch [29/50] | Batch 310/509 | d_loss: 0.3934 | g_loss: 4.8872 2023-06-03 22:57:57 | Epoch [29/50] | Batch 315/509 | d_loss: 0.3892 | g_loss: 3.6583 2023-06-03 22:57:59 | Epoch [29/50] | Batch 320/509 | d_loss: 0.3780 | g_loss: 4.4501 2023-06-03 22:58:00 | Epoch [29/50] | Batch 325/509 | d_loss: 0.3686 | g_loss: 5.0733 2023-06-03 22:58:02 | Epoch [29/50] | Batch 330/509 | d_loss: 0.3710 | g_loss: 4.6802 2023-06-03 22:58:04 | Epoch [29/50] | Batch 335/509 | d_loss: 0.3678 | g_loss: 5.0621 2023-06-03 22:58:05 | Epoch [29/50] | Batch 340/509 | d_loss: 0.3557 | g_loss: 5.0871 2023-06-03 22:58:07 | Epoch [29/50] | Batch 345/509 | d_loss: 0.3643 | g_loss: 4.1828 2023-06-03 22:58:08 | Epoch [29/50] | Batch 350/509 | d_loss: 0.3853 | g_loss: 4.4906 2023-06-03 22:58:10 | Epoch [29/50] | Batch 355/509 | d_loss: 0.4292 | g_loss: 3.2739 2023-06-03 22:58:12 | Epoch [29/50] | Batch 360/509 | d_loss: 0.3593 | g_loss: 5.2565 2023-06-03 22:58:13 | Epoch [29/50] | Batch 365/509 | d_loss: 0.3501 | g_loss: 5.7573 2023-06-03 22:58:15 | Epoch [29/50] | Batch 370/509 | d_loss: 0.3996 | g_loss: 4.4596 2023-06-03 22:58:17 | Epoch [29/50] | Batch 375/509 | d_loss: 0.4368 | g_loss: 4.2281 2023-06-03 22:58:18 | Epoch [29/50] | Batch 380/509 | d_loss: 0.3685 | g_loss: 3.6850 2023-06-03 22:58:20 | Epoch [29/50] | Batch 385/509 | d_loss: 0.3632 | g_loss: 6.9565 2023-06-03 22:58:22 | Epoch [29/50] | Batch 390/509 | d_loss: 0.4958 | g_loss: 3.7998 2023-06-03 22:58:23 | Epoch [29/50] | Batch 395/509 | d_loss: 0.5532 | g_loss: 2.8429 2023-06-03 22:58:25 | Epoch [29/50] | Batch 400/509 | d_loss: 0.3797 | g_loss: 3.8401 2023-06-03 22:58:27 | Epoch [29/50] | Batch 405/509 | d_loss: 0.3845 | g_loss: 4.6510 2023-06-03 22:58:28 | Epoch [29/50] | Batch 410/509 | d_loss: 0.3697 | g_loss: 4.4489 2023-06-03 22:58:30 | Epoch [29/50] | Batch 415/509 | d_loss: 0.3550 | g_loss: 5.0628 2023-06-03 22:58:31 | Epoch [29/50] | Batch 420/509 | d_loss: 0.3675 | g_loss: 5.3216 2023-06-03 22:58:33 | Epoch [29/50] | Batch 425/509 | d_loss: 0.4292 | g_loss: 5.4620 2023-06-03 22:58:35 | Epoch [29/50] | Batch 430/509 | d_loss: 0.4138 | g_loss: 5.1296 2023-06-03 22:58:36 | Epoch [29/50] | Batch 435/509 | d_loss: 0.6711 | g_loss: 4.4988 2023-06-03 22:58:38 | Epoch [29/50] | Batch 440/509 | d_loss: 0.4312 | g_loss: 2.8910 2023-06-03 22:58:40 | Epoch [29/50] | Batch 445/509 | d_loss: 0.4340 | g_loss: 2.0820 2023-06-03 22:58:41 | Epoch [29/50] | Batch 450/509 | d_loss: 0.4275 | g_loss: 4.0536 2023-06-03 22:58:43 | Epoch [29/50] | Batch 455/509 | d_loss: 0.3921 | g_loss: 4.9130 2023-06-03 22:58:45 | Epoch [29/50] | Batch 460/509 | d_loss: 0.4001 | g_loss: 4.1542 2023-06-03 22:58:46 | Epoch [29/50] | Batch 465/509 | d_loss: 0.3853 | g_loss: 4.9575 2023-06-03 22:58:48 | Epoch [29/50] | Batch 470/509 | d_loss: 0.3664 | g_loss: 4.5463 2023-06-03 22:58:49 | Epoch [29/50] | Batch 475/509 | d_loss: 0.5697 | g_loss: 4.9044 2023-06-03 22:58:51 | Epoch [29/50] | Batch 480/509 | d_loss: 0.3667 | g_loss: 5.9094 2023-06-03 22:58:53 | Epoch [29/50] | Batch 485/509 | d_loss: 1.3766 | g_loss: 7.7216 2023-06-03 22:58:54 | Epoch [29/50] | Batch 490/509 | d_loss: 0.4469 | g_loss: 4.2691 2023-06-03 22:58:56 | Epoch [29/50] | Batch 495/509 | d_loss: 0.5634 | g_loss: 1.9138 2023-06-03 22:58:58 | Epoch [29/50] | Batch 500/509 | d_loss: 0.6372 | g_loss: 2.9826 2023-06-03 22:58:59 | Epoch [29/50] | Batch 505/509 | d_loss: 0.7434 | g_loss: 1.6236
2023-06-03 22:59:02 | Epoch [30/50] | Batch 0/509 | d_loss: 0.6282 | g_loss: 3.5038 2023-06-03 22:59:03 | Epoch [30/50] | Batch 5/509 | d_loss: 0.5437 | g_loss: 3.0465 2023-06-03 22:59:05 | Epoch [30/50] | Batch 10/509 | d_loss: 0.4995 | g_loss: 4.1734 2023-06-03 22:59:07 | Epoch [30/50] | Batch 15/509 | d_loss: 0.5864 | g_loss: 2.9144 2023-06-03 22:59:08 | Epoch [30/50] | Batch 20/509 | d_loss: 0.3789 | g_loss: 5.2057 2023-06-03 22:59:10 | Epoch [30/50] | Batch 25/509 | d_loss: 0.7993 | g_loss: 4.8797 2023-06-03 22:59:12 | Epoch [30/50] | Batch 30/509 | d_loss: 0.4804 | g_loss: 4.3742 2023-06-03 22:59:13 | Epoch [30/50] | Batch 35/509 | d_loss: 0.4226 | g_loss: 3.6286 2023-06-03 22:59:15 | Epoch [30/50] | Batch 40/509 | d_loss: 0.4105 | g_loss: 4.5169 2023-06-03 22:59:17 | Epoch [30/50] | Batch 45/509 | d_loss: 0.4431 | g_loss: 3.4547 2023-06-03 22:59:18 | Epoch [30/50] | Batch 50/509 | d_loss: 0.3827 | g_loss: 3.9008 2023-06-03 22:59:20 | Epoch [30/50] | Batch 55/509 | d_loss: 0.4856 | g_loss: 3.4098 2023-06-03 22:59:21 | Epoch [30/50] | Batch 60/509 | d_loss: 0.4507 | g_loss: 3.0614 2023-06-03 22:59:23 | Epoch [30/50] | Batch 65/509 | d_loss: 0.4592 | g_loss: 4.0386 2023-06-03 22:59:25 | Epoch [30/50] | Batch 70/509 | d_loss: 0.4187 | g_loss: 3.1441 2023-06-03 22:59:26 | Epoch [30/50] | Batch 75/509 | d_loss: 0.3747 | g_loss: 4.2036 2023-06-03 22:59:28 | Epoch [30/50] | Batch 80/509 | d_loss: 0.4862 | g_loss: 4.1634 2023-06-03 22:59:30 | Epoch [30/50] | Batch 85/509 | d_loss: 0.4112 | g_loss: 4.5074 2023-06-03 22:59:31 | Epoch [30/50] | Batch 90/509 | d_loss: 0.9851 | g_loss: 6.1157 2023-06-03 22:59:33 | Epoch [30/50] | Batch 95/509 | d_loss: 0.6162 | g_loss: 4.0901 2023-06-03 22:59:35 | Epoch [30/50] | Batch 100/509 | d_loss: 0.4493 | g_loss: 3.2664 2023-06-03 22:59:36 | Epoch [30/50] | Batch 105/509 | d_loss: 0.4280 | g_loss: 3.4678 2023-06-03 22:59:38 | Epoch [30/50] | Batch 110/509 | d_loss: 0.4847 | g_loss: 4.0200 2023-06-03 22:59:39 | Epoch [30/50] | Batch 115/509 | d_loss: 0.5416 | g_loss: 3.5308 2023-06-03 22:59:41 | Epoch [30/50] | Batch 120/509 | d_loss: 0.4915 | g_loss: 2.9786 2023-06-03 22:59:43 | Epoch [30/50] | Batch 125/509 | d_loss: 0.4145 | g_loss: 4.1668 2023-06-03 22:59:44 | Epoch [30/50] | Batch 130/509 | d_loss: 0.4687 | g_loss: 4.9310 2023-06-03 22:59:46 | Epoch [30/50] | Batch 135/509 | d_loss: 0.3761 | g_loss: 3.9557 2023-06-03 22:59:48 | Epoch [30/50] | Batch 140/509 | d_loss: 0.4114 | g_loss: 4.4385 2023-06-03 22:59:49 | Epoch [30/50] | Batch 145/509 | d_loss: 0.3746 | g_loss: 4.1351 2023-06-03 22:59:51 | Epoch [30/50] | Batch 150/509 | d_loss: 0.3736 | g_loss: 4.5454 2023-06-03 22:59:53 | Epoch [30/50] | Batch 155/509 | d_loss: 0.6190 | g_loss: 4.5497 2023-06-03 22:59:54 | Epoch [30/50] | Batch 160/509 | d_loss: 0.5639 | g_loss: 3.2773 2023-06-03 22:59:56 | Epoch [30/50] | Batch 165/509 | d_loss: 0.4081 | g_loss: 2.9675 2023-06-03 22:59:58 | Epoch [30/50] | Batch 170/509 | d_loss: 0.4571 | g_loss: 3.7327 2023-06-03 22:59:59 | Epoch [30/50] | Batch 175/509 | d_loss: 0.4468 | g_loss: 3.6552 2023-06-03 23:00:01 | Epoch [30/50] | Batch 180/509 | d_loss: 0.3763 | g_loss: 3.3043 2023-06-03 23:00:02 | Epoch [30/50] | Batch 185/509 | d_loss: 0.3717 | g_loss: 4.4727 2023-06-03 23:00:04 | Epoch [30/50] | Batch 190/509 | d_loss: 0.3844 | g_loss: 3.3579 2023-06-03 23:00:06 | Epoch [30/50] | Batch 195/509 | d_loss: 0.5108 | g_loss: 4.5177 2023-06-03 23:00:07 | Epoch [30/50] | Batch 200/509 | d_loss: 0.3770 | g_loss: 5.4334 2023-06-03 23:00:09 | Epoch [30/50] | Batch 205/509 | d_loss: 0.3660 | g_loss: 4.6950 2023-06-03 23:00:11 | Epoch [30/50] | Batch 210/509 | d_loss: 0.3938 | g_loss: 3.8535 2023-06-03 23:00:12 | Epoch [30/50] | Batch 215/509 | d_loss: 0.3653 | g_loss: 4.9328 2023-06-03 23:00:14 | Epoch [30/50] | Batch 220/509 | d_loss: 0.3698 | g_loss: 4.5979 2023-06-03 23:00:16 | Epoch [30/50] | Batch 225/509 | d_loss: 0.3928 | g_loss: 3.5610 2023-06-03 23:00:17 | Epoch [30/50] | Batch 230/509 | d_loss: 0.3884 | g_loss: 4.5331 2023-06-03 23:00:19 | Epoch [30/50] | Batch 235/509 | d_loss: 0.4236 | g_loss: 4.1374 2023-06-03 23:00:20 | Epoch [30/50] | Batch 240/509 | d_loss: 0.3747 | g_loss: 3.9930 2023-06-03 23:00:22 | Epoch [30/50] | Batch 245/509 | d_loss: 0.3874 | g_loss: 4.7791 2023-06-03 23:00:24 | Epoch [30/50] | Batch 250/509 | d_loss: 0.7203 | g_loss: 5.8727 2023-06-03 23:00:25 | Epoch [30/50] | Batch 255/509 | d_loss: 0.5838 | g_loss: 2.2666 2023-06-03 23:00:27 | Epoch [30/50] | Batch 260/509 | d_loss: 0.4541 | g_loss: 4.6159 2023-06-03 23:00:29 | Epoch [30/50] | Batch 265/509 | d_loss: 0.3579 | g_loss: 4.3128 2023-06-03 23:00:30 | Epoch [30/50] | Batch 270/509 | d_loss: 0.3769 | g_loss: 4.5700 2023-06-03 23:00:32 | Epoch [30/50] | Batch 275/509 | d_loss: 0.3693 | g_loss: 4.3401 2023-06-03 23:00:34 | Epoch [30/50] | Batch 280/509 | d_loss: 0.4431 | g_loss: 2.5617 2023-06-03 23:00:35 | Epoch [30/50] | Batch 285/509 | d_loss: 0.3627 | g_loss: 7.2762 2023-06-03 23:00:37 | Epoch [30/50] | Batch 290/509 | d_loss: 0.3760 | g_loss: 5.1789 2023-06-03 23:00:38 | Epoch [30/50] | Batch 295/509 | d_loss: 0.3660 | g_loss: 4.5686 2023-06-03 23:00:40 | Epoch [30/50] | Batch 300/509 | d_loss: 0.5486 | g_loss: 4.0372 2023-06-03 23:00:42 | Epoch [30/50] | Batch 305/509 | d_loss: 0.5866 | g_loss: 1.8146 2023-06-03 23:00:43 | Epoch [30/50] | Batch 310/509 | d_loss: 1.1506 | g_loss: 1.7724 2023-06-03 23:00:45 | Epoch [30/50] | Batch 315/509 | d_loss: 0.4221 | g_loss: 3.6649 2023-06-03 23:00:47 | Epoch [30/50] | Batch 320/509 | d_loss: 0.4198 | g_loss: 2.7343 2023-06-03 23:00:48 | Epoch [30/50] | Batch 325/509 | d_loss: 0.3784 | g_loss: 4.7253 2023-06-03 23:00:50 | Epoch [30/50] | Batch 330/509 | d_loss: 0.4141 | g_loss: 3.6412 2023-06-03 23:00:52 | Epoch [30/50] | Batch 335/509 | d_loss: 0.4098 | g_loss: 4.4646 2023-06-03 23:00:53 | Epoch [30/50] | Batch 340/509 | d_loss: 0.3732 | g_loss: 4.9374 2023-06-03 23:00:55 | Epoch [30/50] | Batch 345/509 | d_loss: 0.4195 | g_loss: 4.1769 2023-06-03 23:00:57 | Epoch [30/50] | Batch 350/509 | d_loss: 0.3895 | g_loss: 4.9755 2023-06-03 23:00:58 | Epoch [30/50] | Batch 355/509 | d_loss: 0.4160 | g_loss: 3.9213 2023-06-03 23:01:00 | Epoch [30/50] | Batch 360/509 | d_loss: 0.3908 | g_loss: 3.7391 2023-06-03 23:01:01 | Epoch [30/50] | Batch 365/509 | d_loss: 0.3900 | g_loss: 4.3534 2023-06-03 23:01:03 | Epoch [30/50] | Batch 370/509 | d_loss: 0.3460 | g_loss: 7.0027 2023-06-03 23:01:05 | Epoch [30/50] | Batch 375/509 | d_loss: 0.3724 | g_loss: 3.4426 2023-06-03 23:01:06 | Epoch [30/50] | Batch 380/509 | d_loss: 0.3698 | g_loss: 5.7357 2023-06-03 23:01:08 | Epoch [30/50] | Batch 385/509 | d_loss: 0.3884 | g_loss: 4.7866 2023-06-03 23:01:10 | Epoch [30/50] | Batch 390/509 | d_loss: 0.4112 | g_loss: 4.7104 2023-06-03 23:01:11 | Epoch [30/50] | Batch 395/509 | d_loss: 0.4067 | g_loss: 4.9772 2023-06-03 23:01:13 | Epoch [30/50] | Batch 400/509 | d_loss: 0.3734 | g_loss: 4.4107 2023-06-03 23:01:15 | Epoch [30/50] | Batch 405/509 | d_loss: 0.3720 | g_loss: 3.5744 2023-06-03 23:01:16 | Epoch [30/50] | Batch 410/509 | d_loss: 0.4001 | g_loss: 4.2670 2023-06-03 23:01:18 | Epoch [30/50] | Batch 415/509 | d_loss: 0.3621 | g_loss: 5.3225 2023-06-03 23:01:19 | Epoch [30/50] | Batch 420/509 | d_loss: 0.3818 | g_loss: 4.6778 2023-06-03 23:01:21 | Epoch [30/50] | Batch 425/509 | d_loss: 0.3604 | g_loss: 4.1428 2023-06-03 23:01:23 | Epoch [30/50] | Batch 430/509 | d_loss: 0.7177 | g_loss: 6.4045 2023-06-03 23:01:24 | Epoch [30/50] | Batch 435/509 | d_loss: 0.3662 | g_loss: 4.8914 2023-06-03 23:01:26 | Epoch [30/50] | Batch 440/509 | d_loss: 0.3736 | g_loss: 4.0815 2023-06-03 23:01:28 | Epoch [30/50] | Batch 445/509 | d_loss: 0.4566 | g_loss: 4.3396 2023-06-03 23:01:29 | Epoch [30/50] | Batch 450/509 | d_loss: 0.3982 | g_loss: 6.0137 2023-06-03 23:01:31 | Epoch [30/50] | Batch 455/509 | d_loss: 0.4007 | g_loss: 3.5039 2023-06-03 23:01:33 | Epoch [30/50] | Batch 460/509 | d_loss: 0.3538 | g_loss: 4.8528 2023-06-03 23:01:34 | Epoch [30/50] | Batch 465/509 | d_loss: 0.3868 | g_loss: 4.6486 2023-06-03 23:01:36 | Epoch [30/50] | Batch 470/509 | d_loss: 0.3548 | g_loss: 4.1931 2023-06-03 23:01:38 | Epoch [30/50] | Batch 475/509 | d_loss: 0.4177 | g_loss: 3.5783 2023-06-03 23:01:39 | Epoch [30/50] | Batch 480/509 | d_loss: 0.4079 | g_loss: 7.1202 2023-06-03 23:01:41 | Epoch [30/50] | Batch 485/509 | d_loss: 0.3911 | g_loss: 3.3220 2023-06-03 23:01:42 | Epoch [30/50] | Batch 490/509 | d_loss: 0.3623 | g_loss: 5.2953 2023-06-03 23:01:44 | Epoch [30/50] | Batch 495/509 | d_loss: 0.3799 | g_loss: 4.4435 2023-06-03 23:01:46 | Epoch [30/50] | Batch 500/509 | d_loss: 0.3778 | g_loss: 5.1669 2023-06-03 23:01:47 | Epoch [30/50] | Batch 505/509 | d_loss: 1.0767 | g_loss: 1.0145
2023-06-03 23:01:50 | Epoch [31/50] | Batch 0/509 | d_loss: 0.5592 | g_loss: 4.7942 2023-06-03 23:01:52 | Epoch [31/50] | Batch 5/509 | d_loss: 0.4171 | g_loss: 3.1538 2023-06-03 23:01:53 | Epoch [31/50] | Batch 10/509 | d_loss: 0.3887 | g_loss: 3.8785 2023-06-03 23:01:55 | Epoch [31/50] | Batch 15/509 | d_loss: 0.3902 | g_loss: 4.3118 2023-06-03 23:01:56 | Epoch [31/50] | Batch 20/509 | d_loss: 0.3702 | g_loss: 4.0077 2023-06-03 23:01:58 | Epoch [31/50] | Batch 25/509 | d_loss: 0.5190 | g_loss: 3.8346 2023-06-03 23:02:00 | Epoch [31/50] | Batch 30/509 | d_loss: 0.5088 | g_loss: 3.0150 2023-06-03 23:02:01 | Epoch [31/50] | Batch 35/509 | d_loss: 0.6210 | g_loss: 5.2734 2023-06-03 23:02:03 | Epoch [31/50] | Batch 40/509 | d_loss: 0.4352 | g_loss: 5.0946 2023-06-03 23:02:05 | Epoch [31/50] | Batch 45/509 | d_loss: 0.4113 | g_loss: 4.4974 2023-06-03 23:02:06 | Epoch [31/50] | Batch 50/509 | d_loss: 0.3980 | g_loss: 4.5965 2023-06-03 23:02:08 | Epoch [31/50] | Batch 55/509 | d_loss: 0.3570 | g_loss: 5.2468 2023-06-03 23:02:10 | Epoch [31/50] | Batch 60/509 | d_loss: 0.3627 | g_loss: 4.9494 2023-06-03 23:02:11 | Epoch [31/50] | Batch 65/509 | d_loss: 0.4302 | g_loss: 4.1366 2023-06-03 23:02:13 | Epoch [31/50] | Batch 70/509 | d_loss: 0.4008 | g_loss: 4.3771 2023-06-03 23:02:14 | Epoch [31/50] | Batch 75/509 | d_loss: 0.3597 | g_loss: 5.1920 2023-06-03 23:02:16 | Epoch [31/50] | Batch 80/509 | d_loss: 0.3496 | g_loss: 5.0782 2023-06-03 23:02:18 | Epoch [31/50] | Batch 85/509 | d_loss: 0.3523 | g_loss: 5.9444 2023-06-03 23:02:19 | Epoch [31/50] | Batch 90/509 | d_loss: 0.3704 | g_loss: 4.3318 2023-06-03 23:02:21 | Epoch [31/50] | Batch 95/509 | d_loss: 0.3958 | g_loss: 5.0162 2023-06-03 23:02:23 | Epoch [31/50] | Batch 100/509 | d_loss: 0.3540 | g_loss: 5.7657 2023-06-03 23:02:24 | Epoch [31/50] | Batch 105/509 | d_loss: 0.3886 | g_loss: 4.1776 2023-06-03 23:02:26 | Epoch [31/50] | Batch 110/509 | d_loss: 0.6358 | g_loss: 6.1019 2023-06-03 23:02:28 | Epoch [31/50] | Batch 115/509 | d_loss: 0.5861 | g_loss: 4.9420 2023-06-03 23:02:29 | Epoch [31/50] | Batch 120/509 | d_loss: 0.5380 | g_loss: 3.9668 2023-06-03 23:02:31 | Epoch [31/50] | Batch 125/509 | d_loss: 0.4056 | g_loss: 4.9990 2023-06-03 23:02:33 | Epoch [31/50] | Batch 130/509 | d_loss: 0.3554 | g_loss: 5.1967 2023-06-03 23:02:34 | Epoch [31/50] | Batch 135/509 | d_loss: 0.3538 | g_loss: 5.2493 2023-06-03 23:02:36 | Epoch [31/50] | Batch 140/509 | d_loss: 0.4317 | g_loss: 5.5594 2023-06-03 23:02:37 | Epoch [31/50] | Batch 145/509 | d_loss: 0.3486 | g_loss: 5.0411 2023-06-03 23:02:39 | Epoch [31/50] | Batch 150/509 | d_loss: 0.5986 | g_loss: 4.2223 2023-06-03 23:02:41 | Epoch [31/50] | Batch 155/509 | d_loss: 0.5280 | g_loss: 2.5206 2023-06-03 23:02:42 | Epoch [31/50] | Batch 160/509 | d_loss: 0.4189 | g_loss: 4.7471 2023-06-03 23:02:44 | Epoch [31/50] | Batch 165/509 | d_loss: 0.3607 | g_loss: 3.8535 2023-06-03 23:02:46 | Epoch [31/50] | Batch 170/509 | d_loss: 0.3774 | g_loss: 4.7081 2023-06-03 23:02:47 | Epoch [31/50] | Batch 175/509 | d_loss: 0.3530 | g_loss: 6.3641 2023-06-03 23:02:49 | Epoch [31/50] | Batch 180/509 | d_loss: 0.3690 | g_loss: 4.7075 2023-06-03 23:02:51 | Epoch [31/50] | Batch 185/509 | d_loss: 0.3776 | g_loss: 5.0711 2023-06-03 23:02:52 | Epoch [31/50] | Batch 190/509 | d_loss: 0.3954 | g_loss: 3.7760 2023-06-03 23:02:54 | Epoch [31/50] | Batch 195/509 | d_loss: 0.6980 | g_loss: 2.7583 2023-06-03 23:02:55 | Epoch [31/50] | Batch 200/509 | d_loss: 0.3509 | g_loss: 6.0814 2023-06-03 23:02:57 | Epoch [31/50] | Batch 205/509 | d_loss: 0.3995 | g_loss: 4.4981 2023-06-03 23:02:59 | Epoch [31/50] | Batch 210/509 | d_loss: 0.3703 | g_loss: 4.2861 2023-06-03 23:03:00 | Epoch [31/50] | Batch 215/509 | d_loss: 0.3545 | g_loss: 5.6671 2023-06-03 23:03:02 | Epoch [31/50] | Batch 220/509 | d_loss: 0.3487 | g_loss: 6.3737 2023-06-03 23:03:04 | Epoch [31/50] | Batch 225/509 | d_loss: 0.4282 | g_loss: 4.0066 2023-06-03 23:03:05 | Epoch [31/50] | Batch 230/509 | d_loss: 0.4061 | g_loss: 4.2510 2023-06-03 23:03:07 | Epoch [31/50] | Batch 235/509 | d_loss: 0.3742 | g_loss: 4.2945 2023-06-03 23:03:09 | Epoch [31/50] | Batch 240/509 | d_loss: 0.4065 | g_loss: 4.4485 2023-06-03 23:03:10 | Epoch [31/50] | Batch 245/509 | d_loss: 0.3823 | g_loss: 5.1307 2023-06-03 23:03:12 | Epoch [31/50] | Batch 250/509 | d_loss: 0.3608 | g_loss: 5.4123 2023-06-03 23:03:13 | Epoch [31/50] | Batch 255/509 | d_loss: 0.4598 | g_loss: 3.6536 2023-06-03 23:03:15 | Epoch [31/50] | Batch 260/509 | d_loss: 0.6139 | g_loss: 1.9356 2023-06-03 23:03:17 | Epoch [31/50] | Batch 265/509 | d_loss: 0.4679 | g_loss: 4.8705 2023-06-03 23:03:18 | Epoch [31/50] | Batch 270/509 | d_loss: 0.3870 | g_loss: 3.4334 2023-06-03 23:03:20 | Epoch [31/50] | Batch 275/509 | d_loss: 0.5007 | g_loss: 4.2318 2023-06-03 23:03:22 | Epoch [31/50] | Batch 280/509 | d_loss: 0.4211 | g_loss: 5.1561 2023-06-03 23:03:23 | Epoch [31/50] | Batch 285/509 | d_loss: 0.4653 | g_loss: 3.6866 2023-06-03 23:03:25 | Epoch [31/50] | Batch 290/509 | d_loss: 0.4191 | g_loss: 2.8728 2023-06-03 23:03:27 | Epoch [31/50] | Batch 295/509 | d_loss: 0.4281 | g_loss: 4.0122 2023-06-03 23:03:28 | Epoch [31/50] | Batch 300/509 | d_loss: 0.3538 | g_loss: 5.7115 2023-06-03 23:03:30 | Epoch [31/50] | Batch 305/509 | d_loss: 0.3619 | g_loss: 4.2289 2023-06-03 23:03:31 | Epoch [31/50] | Batch 310/509 | d_loss: 0.3836 | g_loss: 4.4157 2023-06-03 23:03:33 | Epoch [31/50] | Batch 315/509 | d_loss: 0.3780 | g_loss: 4.4448 2023-06-03 23:03:35 | Epoch [31/50] | Batch 320/509 | d_loss: 0.7014 | g_loss: 6.3435 2023-06-03 23:03:36 | Epoch [31/50] | Batch 325/509 | d_loss: 0.4805 | g_loss: 3.9285 2023-06-03 23:03:38 | Epoch [31/50] | Batch 330/509 | d_loss: 1.2746 | g_loss: 0.7535 2023-06-03 23:03:40 | Epoch [31/50] | Batch 335/509 | d_loss: 0.3875 | g_loss: 4.3223 2023-06-03 23:03:41 | Epoch [31/50] | Batch 340/509 | d_loss: 0.4165 | g_loss: 3.4648 2023-06-03 23:03:43 | Epoch [31/50] | Batch 345/509 | d_loss: 0.3580 | g_loss: 5.5690 2023-06-03 23:03:45 | Epoch [31/50] | Batch 350/509 | d_loss: 0.4180 | g_loss: 3.1070 2023-06-03 23:03:46 | Epoch [31/50] | Batch 355/509 | d_loss: 0.4039 | g_loss: 5.1715 2023-06-03 23:03:48 | Epoch [31/50] | Batch 360/509 | d_loss: 0.3681 | g_loss: 4.2296 2023-06-03 23:03:50 | Epoch [31/50] | Batch 365/509 | d_loss: 0.4015 | g_loss: 4.8378 2023-06-03 23:03:51 | Epoch [31/50] | Batch 370/509 | d_loss: 0.3621 | g_loss: 4.7941 2023-06-03 23:03:53 | Epoch [31/50] | Batch 375/509 | d_loss: 0.3960 | g_loss: 3.8884 2023-06-03 23:03:54 | Epoch [31/50] | Batch 380/509 | d_loss: 0.3820 | g_loss: 5.2590 2023-06-03 23:03:56 | Epoch [31/50] | Batch 385/509 | d_loss: 0.3767 | g_loss: 3.0963 2023-06-03 23:03:58 | Epoch [31/50] | Batch 390/509 | d_loss: 0.3603 | g_loss: 6.1375 2023-06-03 23:03:59 | Epoch [31/50] | Batch 395/509 | d_loss: 0.3593 | g_loss: 3.3324 2023-06-03 23:04:01 | Epoch [31/50] | Batch 400/509 | d_loss: 0.3651 | g_loss: 5.0068 2023-06-03 23:04:03 | Epoch [31/50] | Batch 405/509 | d_loss: 0.3943 | g_loss: 4.4419 2023-06-03 23:04:04 | Epoch [31/50] | Batch 410/509 | d_loss: 0.4824 | g_loss: 4.1151 2023-06-03 23:04:06 | Epoch [31/50] | Batch 415/509 | d_loss: 0.3849 | g_loss: 3.5771 2023-06-03 23:04:08 | Epoch [31/50] | Batch 420/509 | d_loss: 0.3706 | g_loss: 4.7168 2023-06-03 23:04:09 | Epoch [31/50] | Batch 425/509 | d_loss: 0.4478 | g_loss: 2.7983 2023-06-03 23:04:11 | Epoch [31/50] | Batch 430/509 | d_loss: 0.3642 | g_loss: 4.7142 2023-06-03 23:04:12 | Epoch [31/50] | Batch 435/509 | d_loss: 0.3567 | g_loss: 5.1169 2023-06-03 23:04:14 | Epoch [31/50] | Batch 440/509 | d_loss: 0.3657 | g_loss: 5.9595 2023-06-03 23:04:16 | Epoch [31/50] | Batch 445/509 | d_loss: 0.3857 | g_loss: 3.3822 2023-06-03 23:04:17 | Epoch [31/50] | Batch 450/509 | d_loss: 0.3503 | g_loss: 4.2210 2023-06-03 23:04:19 | Epoch [31/50] | Batch 455/509 | d_loss: 0.4008 | g_loss: 4.8803 2023-06-03 23:04:21 | Epoch [31/50] | Batch 460/509 | d_loss: 0.5212 | g_loss: 5.5058 2023-06-03 23:04:22 | Epoch [31/50] | Batch 465/509 | d_loss: 2.9650 | g_loss: 1.5541 2023-06-03 23:04:24 | Epoch [31/50] | Batch 470/509 | d_loss: 0.4267 | g_loss: 4.1819 2023-06-03 23:04:25 | Epoch [31/50] | Batch 475/509 | d_loss: 0.4021 | g_loss: 3.7228 2023-06-03 23:04:27 | Epoch [31/50] | Batch 480/509 | d_loss: 0.5332 | g_loss: 3.3969 2023-06-03 23:04:29 | Epoch [31/50] | Batch 485/509 | d_loss: 0.5728 | g_loss: 2.2925 2023-06-03 23:04:30 | Epoch [31/50] | Batch 490/509 | d_loss: 0.4157 | g_loss: 6.1911 2023-06-03 23:04:32 | Epoch [31/50] | Batch 495/509 | d_loss: 0.5205 | g_loss: 1.9602 2023-06-03 23:04:34 | Epoch [31/50] | Batch 500/509 | d_loss: 0.5854 | g_loss: 4.9669 2023-06-03 23:04:35 | Epoch [31/50] | Batch 505/509 | d_loss: 0.3897 | g_loss: 4.1225
2023-06-03 23:04:38 | Epoch [32/50] | Batch 0/509 | d_loss: 0.3778 | g_loss: 3.5610 2023-06-03 23:04:39 | Epoch [32/50] | Batch 5/509 | d_loss: 0.4247 | g_loss: 3.2407 2023-06-03 23:04:41 | Epoch [32/50] | Batch 10/509 | d_loss: 0.3712 | g_loss: 4.8820 2023-06-03 23:04:43 | Epoch [32/50] | Batch 15/509 | d_loss: 0.3886 | g_loss: 5.3733 2023-06-03 23:04:44 | Epoch [32/50] | Batch 20/509 | d_loss: 0.4531 | g_loss: 3.6683 2023-06-03 23:04:46 | Epoch [32/50] | Batch 25/509 | d_loss: 0.5033 | g_loss: 4.7185 2023-06-03 23:04:48 | Epoch [32/50] | Batch 30/509 | d_loss: 0.4545 | g_loss: 3.8548 2023-06-03 23:04:49 | Epoch [32/50] | Batch 35/509 | d_loss: 0.4081 | g_loss: 5.1737 2023-06-03 23:04:51 | Epoch [32/50] | Batch 40/509 | d_loss: 0.4616 | g_loss: 3.1246 2023-06-03 23:04:52 | Epoch [32/50] | Batch 45/509 | d_loss: 0.4357 | g_loss: 4.7599 2023-06-03 23:04:54 | Epoch [32/50] | Batch 50/509 | d_loss: 0.3610 | g_loss: 4.4770 2023-06-03 23:04:56 | Epoch [32/50] | Batch 55/509 | d_loss: 0.5106 | g_loss: 3.2594 2023-06-03 23:04:57 | Epoch [32/50] | Batch 60/509 | d_loss: 0.3918 | g_loss: 3.3518 2023-06-03 23:04:59 | Epoch [32/50] | Batch 65/509 | d_loss: 0.3862 | g_loss: 4.0406 2023-06-03 23:05:01 | Epoch [32/50] | Batch 70/509 | d_loss: 0.4001 | g_loss: 3.7873 2023-06-03 23:05:02 | Epoch [32/50] | Batch 75/509 | d_loss: 0.4420 | g_loss: 4.3376 2023-06-03 23:05:04 | Epoch [32/50] | Batch 80/509 | d_loss: 0.4187 | g_loss: 4.6964 2023-06-03 23:05:06 | Epoch [32/50] | Batch 85/509 | d_loss: 0.4439 | g_loss: 6.2148 2023-06-03 23:05:07 | Epoch [32/50] | Batch 90/509 | d_loss: 0.4105 | g_loss: 4.4182 2023-06-03 23:05:09 | Epoch [32/50] | Batch 95/509 | d_loss: 0.3757 | g_loss: 3.9908 2023-06-03 23:05:10 | Epoch [32/50] | Batch 100/509 | d_loss: 0.4901 | g_loss: 3.7390 2023-06-03 23:05:12 | Epoch [32/50] | Batch 105/509 | d_loss: 0.3943 | g_loss: 4.1524 2023-06-03 23:05:14 | Epoch [32/50] | Batch 110/509 | d_loss: 0.3727 | g_loss: 3.6468 2023-06-03 23:05:15 | Epoch [32/50] | Batch 115/509 | d_loss: 0.4946 | g_loss: 4.8723 2023-06-03 23:05:17 | Epoch [32/50] | Batch 120/509 | d_loss: 0.3750 | g_loss: 4.9851 2023-06-03 23:05:19 | Epoch [32/50] | Batch 125/509 | d_loss: 0.3508 | g_loss: 4.6706 2023-06-03 23:05:20 | Epoch [32/50] | Batch 130/509 | d_loss: 0.5988 | g_loss: 3.9393 2023-06-03 23:05:22 | Epoch [32/50] | Batch 135/509 | d_loss: 0.4673 | g_loss: 3.8662 2023-06-03 23:05:24 | Epoch [32/50] | Batch 140/509 | d_loss: 0.3605 | g_loss: 5.0639 2023-06-03 23:05:25 | Epoch [32/50] | Batch 145/509 | d_loss: 0.3811 | g_loss: 5.0423 2023-06-03 23:05:27 | Epoch [32/50] | Batch 150/509 | d_loss: 0.8672 | g_loss: 3.4479 2023-06-03 23:05:28 | Epoch [32/50] | Batch 155/509 | d_loss: 0.9250 | g_loss: 1.0760 2023-06-03 23:05:30 | Epoch [32/50] | Batch 160/509 | d_loss: 0.8357 | g_loss: 2.8051 2023-06-03 23:05:32 | Epoch [32/50] | Batch 165/509 | d_loss: 0.8678 | g_loss: 1.5641 2023-06-03 23:05:33 | Epoch [32/50] | Batch 170/509 | d_loss: 0.5230 | g_loss: 4.0555 2023-06-03 23:05:35 | Epoch [32/50] | Batch 175/509 | d_loss: 0.5962 | g_loss: 3.4351 2023-06-03 23:05:37 | Epoch [32/50] | Batch 180/509 | d_loss: 0.6217 | g_loss: 2.8518 2023-06-03 23:05:38 | Epoch [32/50] | Batch 185/509 | d_loss: 0.5567 | g_loss: 3.5354 2023-06-03 23:05:40 | Epoch [32/50] | Batch 190/509 | d_loss: 0.4386 | g_loss: 4.3240 2023-06-03 23:05:42 | Epoch [32/50] | Batch 195/509 | d_loss: 0.4934 | g_loss: 3.1234 2023-06-03 23:05:43 | Epoch [32/50] | Batch 200/509 | d_loss: 0.4925 | g_loss: 2.9727 2023-06-03 23:05:45 | Epoch [32/50] | Batch 205/509 | d_loss: 0.4297 | g_loss: 3.3188 2023-06-03 23:05:47 | Epoch [32/50] | Batch 210/509 | d_loss: 0.4236 | g_loss: 2.9965 2023-06-03 23:05:48 | Epoch [32/50] | Batch 215/509 | d_loss: 0.3946 | g_loss: 3.7144 2023-06-03 23:05:50 | Epoch [32/50] | Batch 220/509 | d_loss: 0.3807 | g_loss: 4.3371 2023-06-03 23:05:51 | Epoch [32/50] | Batch 225/509 | d_loss: 0.4295 | g_loss: 3.5297 2023-06-03 23:05:53 | Epoch [32/50] | Batch 230/509 | d_loss: 0.4534 | g_loss: 4.0003 2023-06-03 23:05:55 | Epoch [32/50] | Batch 235/509 | d_loss: 0.4146 | g_loss: 4.3006 2023-06-03 23:05:56 | Epoch [32/50] | Batch 240/509 | d_loss: 0.4178 | g_loss: 4.6643 2023-06-03 23:05:58 | Epoch [32/50] | Batch 245/509 | d_loss: 0.4359 | g_loss: 3.4062 2023-06-03 23:06:00 | Epoch [32/50] | Batch 250/509 | d_loss: 0.3903 | g_loss: 4.0819 2023-06-03 23:06:01 | Epoch [32/50] | Batch 255/509 | d_loss: 0.3729 | g_loss: 4.0449 2023-06-03 23:06:03 | Epoch [32/50] | Batch 260/509 | d_loss: 0.3515 | g_loss: 7.0115 2023-06-03 23:06:05 | Epoch [32/50] | Batch 265/509 | d_loss: 0.5211 | g_loss: 5.1679 2023-06-03 23:06:06 | Epoch [32/50] | Batch 270/509 | d_loss: 0.3846 | g_loss: 3.7353 2023-06-03 23:06:08 | Epoch [32/50] | Batch 275/509 | d_loss: 0.4265 | g_loss: 3.9117 2023-06-03 23:06:09 | Epoch [32/50] | Batch 280/509 | d_loss: 0.4240 | g_loss: 3.7903 2023-06-03 23:06:11 | Epoch [32/50] | Batch 285/509 | d_loss: 0.5142 | g_loss: 4.6574 2023-06-03 23:06:13 | Epoch [32/50] | Batch 290/509 | d_loss: 0.6269 | g_loss: 2.6491 2023-06-03 23:06:14 | Epoch [32/50] | Batch 295/509 | d_loss: 0.3786 | g_loss: 4.0941 2023-06-03 23:06:16 | Epoch [32/50] | Batch 300/509 | d_loss: 0.3668 | g_loss: 4.0299 2023-06-03 23:06:18 | Epoch [32/50] | Batch 305/509 | d_loss: 0.4107 | g_loss: 3.0710 2023-06-03 23:06:19 | Epoch [32/50] | Batch 310/509 | d_loss: 0.5145 | g_loss: 5.9237 2023-06-03 23:06:21 | Epoch [32/50] | Batch 315/509 | d_loss: 0.4061 | g_loss: 3.9055 2023-06-03 23:06:23 | Epoch [32/50] | Batch 320/509 | d_loss: 0.3633 | g_loss: 4.5424 2023-06-03 23:06:24 | Epoch [32/50] | Batch 325/509 | d_loss: 0.3574 | g_loss: 3.8330 2023-06-03 23:06:26 | Epoch [32/50] | Batch 330/509 | d_loss: 0.4135 | g_loss: 3.4896 2023-06-03 23:06:27 | Epoch [32/50] | Batch 335/509 | d_loss: 0.3839 | g_loss: 4.7317 2023-06-03 23:06:29 | Epoch [32/50] | Batch 340/509 | d_loss: 0.4268 | g_loss: 6.1969 2023-06-03 23:06:31 | Epoch [32/50] | Batch 345/509 | d_loss: 0.6072 | g_loss: 4.1777 2023-06-03 23:06:32 | Epoch [32/50] | Batch 350/509 | d_loss: 0.3798 | g_loss: 4.8333 2023-06-03 23:06:34 | Epoch [32/50] | Batch 355/509 | d_loss: 0.3799 | g_loss: 5.0512 2023-06-03 23:06:36 | Epoch [32/50] | Batch 360/509 | d_loss: 0.3836 | g_loss: 4.4369 2023-06-03 23:06:37 | Epoch [32/50] | Batch 365/509 | d_loss: 0.4002 | g_loss: 4.7563 2023-06-03 23:06:39 | Epoch [32/50] | Batch 370/509 | d_loss: 0.3556 | g_loss: 5.0293 2023-06-03 23:06:41 | Epoch [32/50] | Batch 375/509 | d_loss: 0.3704 | g_loss: 4.2348 2023-06-03 23:06:42 | Epoch [32/50] | Batch 380/509 | d_loss: 0.3747 | g_loss: 4.8205 2023-06-03 23:06:44 | Epoch [32/50] | Batch 385/509 | d_loss: 0.3785 | g_loss: 5.0026 2023-06-03 23:06:45 | Epoch [32/50] | Batch 390/509 | d_loss: 0.3727 | g_loss: 4.3966 2023-06-03 23:06:47 | Epoch [32/50] | Batch 395/509 | d_loss: 0.4380 | g_loss: 3.7381 2023-06-03 23:06:49 | Epoch [32/50] | Batch 400/509 | d_loss: 0.3549 | g_loss: 5.4944 2023-06-03 23:06:50 | Epoch [32/50] | Batch 405/509 | d_loss: 0.3673 | g_loss: 5.4219 2023-06-03 23:06:52 | Epoch [32/50] | Batch 410/509 | d_loss: 0.3944 | g_loss: 3.8273 2023-06-03 23:06:54 | Epoch [32/50] | Batch 415/509 | d_loss: 0.4674 | g_loss: 2.2927 2023-06-03 23:06:55 | Epoch [32/50] | Batch 420/509 | d_loss: 0.3588 | g_loss: 5.3089 2023-06-03 23:06:57 | Epoch [32/50] | Batch 425/509 | d_loss: 0.3883 | g_loss: 4.3564 2023-06-03 23:06:59 | Epoch [32/50] | Batch 430/509 | d_loss: 0.3853 | g_loss: 5.2337 2023-06-03 23:07:00 | Epoch [32/50] | Batch 435/509 | d_loss: 0.3917 | g_loss: 3.8659 2023-06-03 23:07:02 | Epoch [32/50] | Batch 440/509 | d_loss: 0.3701 | g_loss: 3.7797 2023-06-03 23:07:04 | Epoch [32/50] | Batch 445/509 | d_loss: 0.3762 | g_loss: 4.1241 2023-06-03 23:07:05 | Epoch [32/50] | Batch 450/509 | d_loss: 0.3519 | g_loss: 4.7692 2023-06-03 23:07:07 | Epoch [32/50] | Batch 455/509 | d_loss: 0.3641 | g_loss: 4.4707 2023-06-03 23:07:08 | Epoch [32/50] | Batch 460/509 | d_loss: 0.3588 | g_loss: 5.3705 2023-06-03 23:07:10 | Epoch [32/50] | Batch 465/509 | d_loss: 0.3907 | g_loss: 4.5878 2023-06-03 23:07:12 | Epoch [32/50] | Batch 470/509 | d_loss: 0.3543 | g_loss: 7.1804 2023-06-03 23:07:13 | Epoch [32/50] | Batch 475/509 | d_loss: 0.3798 | g_loss: 4.8734 2023-06-03 23:07:15 | Epoch [32/50] | Batch 480/509 | d_loss: 0.4231 | g_loss: 3.2886 2023-06-03 23:07:17 | Epoch [32/50] | Batch 485/509 | d_loss: 0.3715 | g_loss: 5.5180 2023-06-03 23:07:18 | Epoch [32/50] | Batch 490/509 | d_loss: 0.3789 | g_loss: 4.6641 2023-06-03 23:07:20 | Epoch [32/50] | Batch 495/509 | d_loss: 0.3833 | g_loss: 5.5215 2023-06-03 23:07:22 | Epoch [32/50] | Batch 500/509 | d_loss: 0.3581 | g_loss: 4.4647 2023-06-03 23:07:23 | Epoch [32/50] | Batch 505/509 | d_loss: 0.5780 | g_loss: 3.1299
2023-06-03 23:07:26 | Epoch [33/50] | Batch 0/509 | d_loss: 0.4738 | g_loss: 4.7506 2023-06-03 23:07:27 | Epoch [33/50] | Batch 5/509 | d_loss: 0.3701 | g_loss: 4.3543 2023-06-03 23:07:29 | Epoch [33/50] | Batch 10/509 | d_loss: 0.3680 | g_loss: 3.9430 2023-06-03 23:07:31 | Epoch [33/50] | Batch 15/509 | d_loss: 0.4096 | g_loss: 4.2415 2023-06-03 23:07:32 | Epoch [33/50] | Batch 20/509 | d_loss: 0.3968 | g_loss: 4.6960 2023-06-03 23:07:34 | Epoch [33/50] | Batch 25/509 | d_loss: 0.3550 | g_loss: 5.1501 2023-06-03 23:07:36 | Epoch [33/50] | Batch 30/509 | d_loss: 0.4524 | g_loss: 3.7642 2023-06-03 23:07:37 | Epoch [33/50] | Batch 35/509 | d_loss: 1.4351 | g_loss: 1.9157 2023-06-03 23:07:39 | Epoch [33/50] | Batch 40/509 | d_loss: 0.5890 | g_loss: 1.7503 2023-06-03 23:07:40 | Epoch [33/50] | Batch 45/509 | d_loss: 0.6977 | g_loss: 2.6752 2023-06-03 23:07:42 | Epoch [33/50] | Batch 50/509 | d_loss: 0.5274 | g_loss: 3.1542 2023-06-03 23:07:44 | Epoch [33/50] | Batch 55/509 | d_loss: 0.5252 | g_loss: 3.0320 2023-06-03 23:07:45 | Epoch [33/50] | Batch 60/509 | d_loss: 0.5186 | g_loss: 3.5247 2023-06-03 23:07:47 | Epoch [33/50] | Batch 65/509 | d_loss: 0.5917 | g_loss: 4.0548 2023-06-03 23:07:49 | Epoch [33/50] | Batch 70/509 | d_loss: 0.3968 | g_loss: 4.4903 2023-06-03 23:07:50 | Epoch [33/50] | Batch 75/509 | d_loss: 0.3914 | g_loss: 3.7944 2023-06-03 23:07:52 | Epoch [33/50] | Batch 80/509 | d_loss: 0.4058 | g_loss: 4.9741 2023-06-03 23:07:54 | Epoch [33/50] | Batch 85/509 | d_loss: 0.3821 | g_loss: 3.4964 2023-06-03 23:07:55 | Epoch [33/50] | Batch 90/509 | d_loss: 0.3739 | g_loss: 4.0654 2023-06-03 23:07:57 | Epoch [33/50] | Batch 95/509 | d_loss: 0.3714 | g_loss: 3.1711 2023-06-03 23:07:59 | Epoch [33/50] | Batch 100/509 | d_loss: 0.3798 | g_loss: 3.9905 2023-06-03 23:08:00 | Epoch [33/50] | Batch 105/509 | d_loss: 1.5380 | g_loss: 1.9849 2023-06-03 23:08:02 | Epoch [33/50] | Batch 110/509 | d_loss: 0.5099 | g_loss: 3.1819 2023-06-03 23:08:03 | Epoch [33/50] | Batch 115/509 | d_loss: 0.6380 | g_loss: 2.5234 2023-06-03 23:08:05 | Epoch [33/50] | Batch 120/509 | d_loss: 0.4683 | g_loss: 2.3347 2023-06-03 23:08:07 | Epoch [33/50] | Batch 125/509 | d_loss: 0.5324 | g_loss: 3.9187 2023-06-03 23:08:08 | Epoch [33/50] | Batch 130/509 | d_loss: 0.4525 | g_loss: 3.5663 2023-06-03 23:08:10 | Epoch [33/50] | Batch 135/509 | d_loss: 0.5357 | g_loss: 2.7736 2023-06-03 23:08:12 | Epoch [33/50] | Batch 140/509 | d_loss: 0.4064 | g_loss: 2.9009 2023-06-03 23:08:13 | Epoch [33/50] | Batch 145/509 | d_loss: 0.3787 | g_loss: 3.6695 2023-06-03 23:08:15 | Epoch [33/50] | Batch 150/509 | d_loss: 0.4734 | g_loss: 4.3232 2023-06-03 23:08:17 | Epoch [33/50] | Batch 155/509 | d_loss: 0.3943 | g_loss: 4.2797 2023-06-03 23:08:18 | Epoch [33/50] | Batch 160/509 | d_loss: 0.3757 | g_loss: 4.7189 2023-06-03 23:08:20 | Epoch [33/50] | Batch 165/509 | d_loss: 0.7388 | g_loss: 3.7227 2023-06-03 23:08:21 | Epoch [33/50] | Batch 170/509 | d_loss: 0.4165 | g_loss: 2.9461 2023-06-03 23:08:23 | Epoch [33/50] | Batch 175/509 | d_loss: 0.5181 | g_loss: 4.5018 2023-06-03 23:08:25 | Epoch [33/50] | Batch 180/509 | d_loss: 0.3952 | g_loss: 6.0349 2023-06-03 23:08:26 | Epoch [33/50] | Batch 185/509 | d_loss: 0.4091 | g_loss: 3.9692 2023-06-03 23:08:28 | Epoch [33/50] | Batch 190/509 | d_loss: 0.4103 | g_loss: 3.1706 2023-06-03 23:08:30 | Epoch [33/50] | Batch 195/509 | d_loss: 0.5095 | g_loss: 5.3437 2023-06-03 23:08:31 | Epoch [33/50] | Batch 200/509 | d_loss: 0.3795 | g_loss: 4.7875 2023-06-03 23:08:33 | Epoch [33/50] | Batch 205/509 | d_loss: 0.3755 | g_loss: 4.2160 2023-06-03 23:08:35 | Epoch [33/50] | Batch 210/509 | d_loss: 0.4868 | g_loss: 4.0838 2023-06-03 23:08:36 | Epoch [33/50] | Batch 215/509 | d_loss: 0.3663 | g_loss: 4.9139 2023-06-03 23:08:38 | Epoch [33/50] | Batch 220/509 | d_loss: 0.4492 | g_loss: 5.7560 2023-06-03 23:08:39 | Epoch [33/50] | Batch 225/509 | d_loss: 0.4062 | g_loss: 4.0306 2023-06-03 23:08:41 | Epoch [33/50] | Batch 230/509 | d_loss: 0.3795 | g_loss: 4.1492 2023-06-03 23:08:43 | Epoch [33/50] | Batch 235/509 | d_loss: 0.3942 | g_loss: 4.0616 2023-06-03 23:08:44 | Epoch [33/50] | Batch 240/509 | d_loss: 0.4587 | g_loss: 4.2247 2023-06-03 23:08:46 | Epoch [33/50] | Batch 245/509 | d_loss: 0.4002 | g_loss: 3.8068 2023-06-03 23:08:48 | Epoch [33/50] | Batch 250/509 | d_loss: 0.3719 | g_loss: 4.6283 2023-06-03 23:08:49 | Epoch [33/50] | Batch 255/509 | d_loss: 0.4058 | g_loss: 3.7772 2023-06-03 23:08:51 | Epoch [33/50] | Batch 260/509 | d_loss: 0.4252 | g_loss: 5.9285 2023-06-03 23:08:53 | Epoch [33/50] | Batch 265/509 | d_loss: 0.3564 | g_loss: 4.4903 2023-06-03 23:08:54 | Epoch [33/50] | Batch 270/509 | d_loss: 0.3707 | g_loss: 5.6935 2023-06-03 23:08:56 | Epoch [33/50] | Batch 275/509 | d_loss: 0.3637 | g_loss: 4.5008 2023-06-03 23:08:57 | Epoch [33/50] | Batch 280/509 | d_loss: 0.4384 | g_loss: 2.9966 2023-06-03 23:08:59 | Epoch [33/50] | Batch 285/509 | d_loss: 0.3626 | g_loss: 4.4552 2023-06-03 23:09:01 | Epoch [33/50] | Batch 290/509 | d_loss: 0.4934 | g_loss: 3.7080 2023-06-03 23:09:02 | Epoch [33/50] | Batch 295/509 | d_loss: 0.4051 | g_loss: 5.2189 2023-06-03 23:09:04 | Epoch [33/50] | Batch 300/509 | d_loss: 0.4281 | g_loss: 4.0299 2023-06-03 23:09:06 | Epoch [33/50] | Batch 305/509 | d_loss: 0.4124 | g_loss: 5.3249 2023-06-03 23:09:07 | Epoch [33/50] | Batch 310/509 | d_loss: 0.3599 | g_loss: 6.7474 2023-06-03 23:09:09 | Epoch [33/50] | Batch 315/509 | d_loss: 0.4147 | g_loss: 4.2135 2023-06-03 23:09:11 | Epoch [33/50] | Batch 320/509 | d_loss: 0.3600 | g_loss: 5.3109 2023-06-03 23:09:12 | Epoch [33/50] | Batch 325/509 | d_loss: 0.3781 | g_loss: 4.4920 2023-06-03 23:09:14 | Epoch [33/50] | Batch 330/509 | d_loss: 0.4314 | g_loss: 4.3311 2023-06-03 23:09:16 | Epoch [33/50] | Batch 335/509 | d_loss: 0.4484 | g_loss: 2.7725 2023-06-03 23:09:17 | Epoch [33/50] | Batch 340/509 | d_loss: 0.3688 | g_loss: 5.0806 2023-06-03 23:09:19 | Epoch [33/50] | Batch 345/509 | d_loss: 0.3923 | g_loss: 3.4091 2023-06-03 23:09:20 | Epoch [33/50] | Batch 350/509 | d_loss: 0.5623 | g_loss: 5.5078 2023-06-03 23:09:22 | Epoch [33/50] | Batch 355/509 | d_loss: 0.6116 | g_loss: 5.1676 2023-06-03 23:09:24 | Epoch [33/50] | Batch 360/509 | d_loss: 0.8226 | g_loss: 2.5126 2023-06-03 23:09:25 | Epoch [33/50] | Batch 365/509 | d_loss: 0.5046 | g_loss: 3.6369 2023-06-03 23:09:27 | Epoch [33/50] | Batch 370/509 | d_loss: 0.4237 | g_loss: 3.9215 2023-06-03 23:09:29 | Epoch [33/50] | Batch 375/509 | d_loss: 0.4573 | g_loss: 3.4304 2023-06-03 23:09:30 | Epoch [33/50] | Batch 380/509 | d_loss: 0.4260 | g_loss: 3.8261 2023-06-03 23:09:32 | Epoch [33/50] | Batch 385/509 | d_loss: 0.3942 | g_loss: 4.1741 2023-06-03 23:09:34 | Epoch [33/50] | Batch 390/509 | d_loss: 0.3686 | g_loss: 6.1017 2023-06-03 23:09:35 | Epoch [33/50] | Batch 395/509 | d_loss: 0.4365 | g_loss: 3.7766 2023-06-03 23:09:37 | Epoch [33/50] | Batch 400/509 | d_loss: 0.4603 | g_loss: 2.5788 2023-06-03 23:09:38 | Epoch [33/50] | Batch 405/509 | d_loss: 0.3811 | g_loss: 4.5129 2023-06-03 23:09:40 | Epoch [33/50] | Batch 410/509 | d_loss: 0.4148 | g_loss: 4.6568 2023-06-03 23:09:42 | Epoch [33/50] | Batch 415/509 | d_loss: 0.3692 | g_loss: 5.0433 2023-06-03 23:09:43 | Epoch [33/50] | Batch 420/509 | d_loss: 0.4284 | g_loss: 4.0378 2023-06-03 23:09:45 | Epoch [33/50] | Batch 425/509 | d_loss: 0.4133 | g_loss: 3.5021 2023-06-03 23:09:47 | Epoch [33/50] | Batch 430/509 | d_loss: 0.4038 | g_loss: 3.9698 2023-06-03 23:09:48 | Epoch [33/50] | Batch 435/509 | d_loss: 0.3605 | g_loss: 4.0194 2023-06-03 23:09:50 | Epoch [33/50] | Batch 440/509 | d_loss: 0.3652 | g_loss: 5.1396 2023-06-03 23:09:52 | Epoch [33/50] | Batch 445/509 | d_loss: 0.3646 | g_loss: 4.8879 2023-06-03 23:09:53 | Epoch [33/50] | Batch 450/509 | d_loss: 0.3979 | g_loss: 3.9619 2023-06-03 23:09:55 | Epoch [33/50] | Batch 455/509 | d_loss: 1.4494 | g_loss: 8.5710 2023-06-03 23:09:56 | Epoch [33/50] | Batch 460/509 | d_loss: 0.3845 | g_loss: 4.9804 2023-06-03 23:09:58 | Epoch [33/50] | Batch 465/509 | d_loss: 0.3737 | g_loss: 4.3293 2023-06-03 23:10:00 | Epoch [33/50] | Batch 470/509 | d_loss: 0.4237 | g_loss: 3.1078 2023-06-03 23:10:01 | Epoch [33/50] | Batch 475/509 | d_loss: 0.4011 | g_loss: 3.5599 2023-06-03 23:10:03 | Epoch [33/50] | Batch 480/509 | d_loss: 0.3798 | g_loss: 4.5754 2023-06-03 23:10:05 | Epoch [33/50] | Batch 485/509 | d_loss: 0.3783 | g_loss: 4.3152 2023-06-03 23:10:06 | Epoch [33/50] | Batch 490/509 | d_loss: 0.6506 | g_loss: 5.6614 2023-06-03 23:10:08 | Epoch [33/50] | Batch 495/509 | d_loss: 0.3791 | g_loss: 4.7080 2023-06-03 23:10:10 | Epoch [33/50] | Batch 500/509 | d_loss: 0.3610 | g_loss: 5.7028 2023-06-03 23:10:11 | Epoch [33/50] | Batch 505/509 | d_loss: 0.3726 | g_loss: 5.0299
2023-06-03 23:10:14 | Epoch [34/50] | Batch 0/509 | d_loss: 0.3604 | g_loss: 5.3415 2023-06-03 23:10:15 | Epoch [34/50] | Batch 5/509 | d_loss: 0.3620 | g_loss: 5.1130 2023-06-03 23:10:17 | Epoch [34/50] | Batch 10/509 | d_loss: 0.3656 | g_loss: 4.1398 2023-06-03 23:10:19 | Epoch [34/50] | Batch 15/509 | d_loss: 0.3768 | g_loss: 5.0433 2023-06-03 23:10:20 | Epoch [34/50] | Batch 20/509 | d_loss: 0.4300 | g_loss: 4.3766 2023-06-03 23:10:22 | Epoch [34/50] | Batch 25/509 | d_loss: 0.3502 | g_loss: 5.8471 2023-06-03 23:10:23 | Epoch [34/50] | Batch 30/509 | d_loss: 0.3609 | g_loss: 4.9726 2023-06-03 23:10:25 | Epoch [34/50] | Batch 35/509 | d_loss: 0.3777 | g_loss: 5.7743 2023-06-03 23:10:27 | Epoch [34/50] | Batch 40/509 | d_loss: 0.4154 | g_loss: 3.8698 2023-06-03 23:10:28 | Epoch [34/50] | Batch 45/509 | d_loss: 0.4085 | g_loss: 3.5575 2023-06-03 23:10:30 | Epoch [34/50] | Batch 50/509 | d_loss: 0.3888 | g_loss: 4.3849 2023-06-03 23:10:32 | Epoch [34/50] | Batch 55/509 | d_loss: 0.4495 | g_loss: 6.4952 2023-06-03 23:10:33 | Epoch [34/50] | Batch 60/509 | d_loss: 0.3769 | g_loss: 5.4525 2023-06-03 23:10:35 | Epoch [34/50] | Batch 65/509 | d_loss: 0.3636 | g_loss: 3.1010 2023-06-03 23:10:37 | Epoch [34/50] | Batch 70/509 | d_loss: 0.3895 | g_loss: 4.1430 2023-06-03 23:10:38 | Epoch [34/50] | Batch 75/509 | d_loss: 0.3796 | g_loss: 3.4597 2023-06-03 23:10:40 | Epoch [34/50] | Batch 80/509 | d_loss: 0.3456 | g_loss: 5.1570 2023-06-03 23:10:42 | Epoch [34/50] | Batch 85/509 | d_loss: 0.3521 | g_loss: 4.2557 2023-06-03 23:10:43 | Epoch [34/50] | Batch 90/509 | d_loss: 0.3658 | g_loss: 4.9110 2023-06-03 23:10:45 | Epoch [34/50] | Batch 95/509 | d_loss: 0.3698 | g_loss: 4.4012 2023-06-03 23:10:46 | Epoch [34/50] | Batch 100/509 | d_loss: 0.6759 | g_loss: 2.2685 2023-06-03 23:10:48 | Epoch [34/50] | Batch 105/509 | d_loss: 0.4525 | g_loss: 2.5782 2023-06-03 23:10:50 | Epoch [34/50] | Batch 110/509 | d_loss: 0.4266 | g_loss: 5.2410 2023-06-03 23:10:51 | Epoch [34/50] | Batch 115/509 | d_loss: 0.3871 | g_loss: 3.9714 2023-06-03 23:10:53 | Epoch [34/50] | Batch 120/509 | d_loss: 0.4607 | g_loss: 4.1583 2023-06-03 23:10:55 | Epoch [34/50] | Batch 125/509 | d_loss: 0.4121 | g_loss: 4.4466 2023-06-03 23:10:56 | Epoch [34/50] | Batch 130/509 | d_loss: 0.4506 | g_loss: 3.8472 2023-06-03 23:10:58 | Epoch [34/50] | Batch 135/509 | d_loss: 0.3758 | g_loss: 3.8227 2023-06-03 23:11:00 | Epoch [34/50] | Batch 140/509 | d_loss: 0.5046 | g_loss: 3.4511 2023-06-03 23:11:01 | Epoch [34/50] | Batch 145/509 | d_loss: 0.3903 | g_loss: 5.6275 2023-06-03 23:11:03 | Epoch [34/50] | Batch 150/509 | d_loss: 0.5005 | g_loss: 3.4185 2023-06-03 23:11:04 | Epoch [34/50] | Batch 155/509 | d_loss: 0.3767 | g_loss: 4.1365 2023-06-03 23:11:06 | Epoch [34/50] | Batch 160/509 | d_loss: 0.3663 | g_loss: 4.3636 2023-06-03 23:11:08 | Epoch [34/50] | Batch 165/509 | d_loss: 0.3917 | g_loss: 3.2755 2023-06-03 23:11:09 | Epoch [34/50] | Batch 170/509 | d_loss: 0.4077 | g_loss: 3.8533 2023-06-03 23:11:11 | Epoch [34/50] | Batch 175/509 | d_loss: 0.5148 | g_loss: 3.2928 2023-06-03 23:11:13 | Epoch [34/50] | Batch 180/509 | d_loss: 0.3768 | g_loss: 4.8150 2023-06-03 23:11:14 | Epoch [34/50] | Batch 185/509 | d_loss: 0.3635 | g_loss: 4.6566 2023-06-03 23:11:16 | Epoch [34/50] | Batch 190/509 | d_loss: 0.4283 | g_loss: 3.8686 2023-06-03 23:11:18 | Epoch [34/50] | Batch 195/509 | d_loss: 0.3559 | g_loss: 5.0517 2023-06-03 23:11:19 | Epoch [34/50] | Batch 200/509 | d_loss: 0.4125 | g_loss: 3.0667 2023-06-03 23:11:21 | Epoch [34/50] | Batch 205/509 | d_loss: 0.3812 | g_loss: 4.1148 2023-06-03 23:11:23 | Epoch [34/50] | Batch 210/509 | d_loss: 0.3489 | g_loss: 4.7363 2023-06-03 23:11:24 | Epoch [34/50] | Batch 215/509 | d_loss: 0.3843 | g_loss: 4.3555 2023-06-03 23:11:26 | Epoch [34/50] | Batch 220/509 | d_loss: 0.3439 | g_loss: 4.5412 2023-06-03 23:11:27 | Epoch [34/50] | Batch 225/509 | d_loss: 0.7171 | g_loss: 0.8418 2023-06-03 23:11:29 | Epoch [34/50] | Batch 230/509 | d_loss: 0.5175 | g_loss: 5.3592 2023-06-03 23:11:31 | Epoch [34/50] | Batch 235/509 | d_loss: 0.4077 | g_loss: 4.5395 2023-06-03 23:11:32 | Epoch [34/50] | Batch 240/509 | d_loss: 0.5333 | g_loss: 4.1113 2023-06-03 23:11:34 | Epoch [34/50] | Batch 245/509 | d_loss: 0.3668 | g_loss: 5.4791 2023-06-03 23:11:36 | Epoch [34/50] | Batch 250/509 | d_loss: 0.3818 | g_loss: 4.3907 2023-06-03 23:11:37 | Epoch [34/50] | Batch 255/509 | d_loss: 0.3754 | g_loss: 4.4327 2023-06-03 23:11:39 | Epoch [34/50] | Batch 260/509 | d_loss: 0.3565 | g_loss: 4.8896 2023-06-03 23:11:41 | Epoch [34/50] | Batch 265/509 | d_loss: 0.3734 | g_loss: 5.0829 2023-06-03 23:11:42 | Epoch [34/50] | Batch 270/509 | d_loss: 0.3406 | g_loss: 6.6109 2023-06-03 23:11:44 | Epoch [34/50] | Batch 275/509 | d_loss: 0.4286 | g_loss: 3.3702 2023-06-03 23:11:45 | Epoch [34/50] | Batch 280/509 | d_loss: 0.5700 | g_loss: 4.1713 2023-06-03 23:11:47 | Epoch [34/50] | Batch 285/509 | d_loss: 1.2962 | g_loss: 2.1566 2023-06-03 23:11:49 | Epoch [34/50] | Batch 290/509 | d_loss: 0.4375 | g_loss: 3.8275 2023-06-03 23:11:50 | Epoch [34/50] | Batch 295/509 | d_loss: 0.4540 | g_loss: 4.4444 2023-06-03 23:11:52 | Epoch [34/50] | Batch 300/509 | d_loss: 0.4985 | g_loss: 2.7447 2023-06-03 23:11:54 | Epoch [34/50] | Batch 305/509 | d_loss: 0.4296 | g_loss: 3.2244 2023-06-03 23:11:55 | Epoch [34/50] | Batch 310/509 | d_loss: 0.3998 | g_loss: 4.1262 2023-06-03 23:11:57 | Epoch [34/50] | Batch 315/509 | d_loss: 0.4357 | g_loss: 4.1216 2023-06-03 23:11:59 | Epoch [34/50] | Batch 320/509 | d_loss: 0.4430 | g_loss: 3.0966 2023-06-03 23:12:00 | Epoch [34/50] | Batch 325/509 | d_loss: 0.4309 | g_loss: 3.5195 2023-06-03 23:12:02 | Epoch [34/50] | Batch 330/509 | d_loss: 0.4209 | g_loss: 4.7509 2023-06-03 23:12:03 | Epoch [34/50] | Batch 335/509 | d_loss: 0.3761 | g_loss: 3.4212 2023-06-03 23:12:05 | Epoch [34/50] | Batch 340/509 | d_loss: 0.5814 | g_loss: 3.0106 2023-06-03 23:12:07 | Epoch [34/50] | Batch 345/509 | d_loss: 0.3869 | g_loss: 4.5769 2023-06-03 23:12:08 | Epoch [34/50] | Batch 350/509 | d_loss: 0.3823 | g_loss: 4.2954 2023-06-03 23:12:10 | Epoch [34/50] | Batch 355/509 | d_loss: 0.3970 | g_loss: 5.5226 2023-06-03 23:12:12 | Epoch [34/50] | Batch 360/509 | d_loss: 0.4407 | g_loss: 3.8907 2023-06-03 23:12:13 | Epoch [34/50] | Batch 365/509 | d_loss: 0.3901 | g_loss: 4.0175 2023-06-03 23:12:15 | Epoch [34/50] | Batch 370/509 | d_loss: 0.3820 | g_loss: 4.0192 2023-06-03 23:12:17 | Epoch [34/50] | Batch 375/509 | d_loss: 0.4956 | g_loss: 4.0924 2023-06-03 23:12:18 | Epoch [34/50] | Batch 380/509 | d_loss: 0.3631 | g_loss: 4.2252 2023-06-03 23:12:20 | Epoch [34/50] | Batch 385/509 | d_loss: 0.4250 | g_loss: 3.9913 2023-06-03 23:12:21 | Epoch [34/50] | Batch 390/509 | d_loss: 0.3483 | g_loss: 6.8618 2023-06-03 23:12:23 | Epoch [34/50] | Batch 395/509 | d_loss: 0.3618 | g_loss: 5.6215 2023-06-03 23:12:25 | Epoch [34/50] | Batch 400/509 | d_loss: 0.3789 | g_loss: 4.7752 2023-06-03 23:12:26 | Epoch [34/50] | Batch 405/509 | d_loss: 0.3460 | g_loss: 5.1137 2023-06-03 23:12:28 | Epoch [34/50] | Batch 410/509 | d_loss: 0.3809 | g_loss: 4.9942 2023-06-03 23:12:30 | Epoch [34/50] | Batch 415/509 | d_loss: 0.3773 | g_loss: 3.8052 2023-06-03 23:12:31 | Epoch [34/50] | Batch 420/509 | d_loss: 0.3660 | g_loss: 4.8104 2023-06-03 23:12:33 | Epoch [34/50] | Batch 425/509 | d_loss: 0.3771 | g_loss: 4.6822 2023-06-03 23:12:35 | Epoch [34/50] | Batch 430/509 | d_loss: 0.4262 | g_loss: 3.8508 2023-06-03 23:12:36 | Epoch [34/50] | Batch 435/509 | d_loss: 0.3801 | g_loss: 4.2042 2023-06-03 23:12:38 | Epoch [34/50] | Batch 440/509 | d_loss: 0.3572 | g_loss: 4.8319 2023-06-03 23:12:40 | Epoch [34/50] | Batch 445/509 | d_loss: 0.6149 | g_loss: 3.1332 2023-06-03 23:12:41 | Epoch [34/50] | Batch 450/509 | d_loss: 0.3733 | g_loss: 5.6232 2023-06-03 23:12:43 | Epoch [34/50] | Batch 455/509 | d_loss: 0.3874 | g_loss: 4.7795 2023-06-03 23:12:44 | Epoch [34/50] | Batch 460/509 | d_loss: 0.3920 | g_loss: 3.1425 2023-06-03 23:12:46 | Epoch [34/50] | Batch 465/509 | d_loss: 0.3789 | g_loss: 3.9067 2023-06-03 23:12:48 | Epoch [34/50] | Batch 470/509 | d_loss: 0.3990 | g_loss: 4.6407 2023-06-03 23:12:49 | Epoch [34/50] | Batch 475/509 | d_loss: 0.3858 | g_loss: 4.0057 2023-06-03 23:12:51 | Epoch [34/50] | Batch 480/509 | d_loss: 0.3475 | g_loss: 5.4639 2023-06-03 23:12:53 | Epoch [34/50] | Batch 485/509 | d_loss: 0.3747 | g_loss: 3.8187 2023-06-03 23:12:54 | Epoch [34/50] | Batch 490/509 | d_loss: 0.3829 | g_loss: 5.9632 2023-06-03 23:12:56 | Epoch [34/50] | Batch 495/509 | d_loss: 0.3707 | g_loss: 4.6502 2023-06-03 23:12:58 | Epoch [34/50] | Batch 500/509 | d_loss: 0.3561 | g_loss: 4.3270 2023-06-03 23:12:59 | Epoch [34/50] | Batch 505/509 | d_loss: 0.3709 | g_loss: 4.1760
2023-06-03 23:13:02 | Epoch [35/50] | Batch 0/509 | d_loss: 0.3703 | g_loss: 5.0040 2023-06-03 23:13:03 | Epoch [35/50] | Batch 5/509 | d_loss: 0.9083 | g_loss: 8.6917 2023-06-03 23:13:05 | Epoch [35/50] | Batch 10/509 | d_loss: 0.4871 | g_loss: 3.7237 2023-06-03 23:13:07 | Epoch [35/50] | Batch 15/509 | d_loss: 1.2959 | g_loss: 5.2210 2023-06-03 23:13:08 | Epoch [35/50] | Batch 20/509 | d_loss: 0.5061 | g_loss: 4.8612 2023-06-03 23:13:10 | Epoch [35/50] | Batch 25/509 | d_loss: 0.4319 | g_loss: 3.5515 2023-06-03 23:13:12 | Epoch [35/50] | Batch 30/509 | d_loss: 0.4106 | g_loss: 4.5428 2023-06-03 23:13:13 | Epoch [35/50] | Batch 35/509 | d_loss: 0.3913 | g_loss: 4.4516 2023-06-03 23:13:15 | Epoch [35/50] | Batch 40/509 | d_loss: 0.4022 | g_loss: 3.9198 2023-06-03 23:13:17 | Epoch [35/50] | Batch 45/509 | d_loss: 0.5037 | g_loss: 5.3079 2023-06-03 23:13:18 | Epoch [35/50] | Batch 50/509 | d_loss: 0.4018 | g_loss: 3.4804 2023-06-03 23:13:20 | Epoch [35/50] | Batch 55/509 | d_loss: 0.3801 | g_loss: 5.2525 2023-06-03 23:13:21 | Epoch [35/50] | Batch 60/509 | d_loss: 0.3957 | g_loss: 3.7297 2023-06-03 23:13:23 | Epoch [35/50] | Batch 65/509 | d_loss: 0.5500 | g_loss: 4.8536 2023-06-03 23:13:25 | Epoch [35/50] | Batch 70/509 | d_loss: 0.3766 | g_loss: 5.4506 2023-06-03 23:13:26 | Epoch [35/50] | Batch 75/509 | d_loss: 0.3570 | g_loss: 4.3055 2023-06-03 23:13:28 | Epoch [35/50] | Batch 80/509 | d_loss: 0.3909 | g_loss: 4.5239 2023-06-03 23:13:30 | Epoch [35/50] | Batch 85/509 | d_loss: 0.3641 | g_loss: 3.6878 2023-06-03 23:13:31 | Epoch [35/50] | Batch 90/509 | d_loss: 0.4105 | g_loss: 5.1503 2023-06-03 23:13:33 | Epoch [35/50] | Batch 95/509 | d_loss: 0.3987 | g_loss: 5.7773 2023-06-03 23:13:35 | Epoch [35/50] | Batch 100/509 | d_loss: 0.4265 | g_loss: 4.2752 2023-06-03 23:13:36 | Epoch [35/50] | Batch 105/509 | d_loss: 0.3711 | g_loss: 6.6606 2023-06-03 23:13:38 | Epoch [35/50] | Batch 110/509 | d_loss: 0.3717 | g_loss: 4.2723 2023-06-03 23:13:39 | Epoch [35/50] | Batch 115/509 | d_loss: 0.3495 | g_loss: 3.6484 2023-06-03 23:13:41 | Epoch [35/50] | Batch 120/509 | d_loss: 0.3819 | g_loss: 3.4982 2023-06-03 23:13:43 | Epoch [35/50] | Batch 125/509 | d_loss: 0.3563 | g_loss: 4.2180 2023-06-03 23:13:44 | Epoch [35/50] | Batch 130/509 | d_loss: 0.3889 | g_loss: 4.1483 2023-06-03 23:13:46 | Epoch [35/50] | Batch 135/509 | d_loss: 0.3532 | g_loss: 5.8988 2023-06-03 23:13:48 | Epoch [35/50] | Batch 140/509 | d_loss: 0.3959 | g_loss: 4.3050 2023-06-03 23:13:49 | Epoch [35/50] | Batch 145/509 | d_loss: 0.3598 | g_loss: 4.4007 2023-06-03 23:13:51 | Epoch [35/50] | Batch 150/509 | d_loss: 0.4326 | g_loss: 4.6555 2023-06-03 23:13:53 | Epoch [35/50] | Batch 155/509 | d_loss: 0.3725 | g_loss: 6.0284 2023-06-03 23:13:54 | Epoch [35/50] | Batch 160/509 | d_loss: 0.3527 | g_loss: 4.1041 2023-06-03 23:13:56 | Epoch [35/50] | Batch 165/509 | d_loss: 0.3501 | g_loss: 5.2294 2023-06-03 23:13:57 | Epoch [35/50] | Batch 170/509 | d_loss: 0.4260 | g_loss: 3.7333 2023-06-03 23:13:59 | Epoch [35/50] | Batch 175/509 | d_loss: 0.3573 | g_loss: 4.3052 2023-06-03 23:14:01 | Epoch [35/50] | Batch 180/509 | d_loss: 0.4057 | g_loss: 5.0775 2023-06-03 23:14:02 | Epoch [35/50] | Batch 185/509 | d_loss: 0.3736 | g_loss: 4.2879 2023-06-03 23:14:04 | Epoch [35/50] | Batch 190/509 | d_loss: 0.3801 | g_loss: 3.9798 2023-06-03 23:14:06 | Epoch [35/50] | Batch 195/509 | d_loss: 0.3927 | g_loss: 5.4759 2023-06-03 23:14:07 | Epoch [35/50] | Batch 200/509 | d_loss: 0.4333 | g_loss: 3.8194 2023-06-03 23:14:09 | Epoch [35/50] | Batch 205/509 | d_loss: 0.5520 | g_loss: 3.0748 2023-06-03 23:14:11 | Epoch [35/50] | Batch 210/509 | d_loss: 0.4173 | g_loss: 4.6322 2023-06-03 23:14:12 | Epoch [35/50] | Batch 215/509 | d_loss: 0.4717 | g_loss: 4.9064 2023-06-03 23:14:14 | Epoch [35/50] | Batch 220/509 | d_loss: 0.3627 | g_loss: 5.7373 2023-06-03 23:14:15 | Epoch [35/50] | Batch 225/509 | d_loss: 0.4884 | g_loss: 4.1505 2023-06-03 23:14:17 | Epoch [35/50] | Batch 230/509 | d_loss: 0.3746 | g_loss: 3.9896 2023-06-03 23:14:19 | Epoch [35/50] | Batch 235/509 | d_loss: 0.4591 | g_loss: 5.3606 2023-06-03 23:14:20 | Epoch [35/50] | Batch 240/509 | d_loss: 0.3755 | g_loss: 5.2228 2023-06-03 23:14:22 | Epoch [35/50] | Batch 245/509 | d_loss: 0.5406 | g_loss: 1.6451 2023-06-03 23:14:24 | Epoch [35/50] | Batch 250/509 | d_loss: 0.4468 | g_loss: 5.4354 2023-06-03 23:14:25 | Epoch [35/50] | Batch 255/509 | d_loss: 0.5389 | g_loss: 1.9054 2023-06-03 23:14:27 | Epoch [35/50] | Batch 260/509 | d_loss: 0.4107 | g_loss: 2.9892 2023-06-03 23:14:29 | Epoch [35/50] | Batch 265/509 | d_loss: 0.4499 | g_loss: 4.1240 2023-06-03 23:14:30 | Epoch [35/50] | Batch 270/509 | d_loss: 0.4279 | g_loss: 3.7838 2023-06-03 23:14:32 | Epoch [35/50] | Batch 275/509 | d_loss: 1.3005 | g_loss: 0.5131 2023-06-03 23:14:33 | Epoch [35/50] | Batch 280/509 | d_loss: 0.4388 | g_loss: 3.2120 2023-06-03 23:14:35 | Epoch [35/50] | Batch 285/509 | d_loss: 0.6567 | g_loss: 4.6358 2023-06-03 23:14:37 | Epoch [35/50] | Batch 290/509 | d_loss: 0.6164 | g_loss: 3.4421 2023-06-03 23:14:38 | Epoch [35/50] | Batch 295/509 | d_loss: 0.3667 | g_loss: 4.4955 2023-06-03 23:14:40 | Epoch [35/50] | Batch 300/509 | d_loss: 0.3767 | g_loss: 5.0721 2023-06-03 23:14:42 | Epoch [35/50] | Batch 305/509 | d_loss: 0.4619 | g_loss: 3.9019 2023-06-03 23:14:43 | Epoch [35/50] | Batch 310/509 | d_loss: 0.4005 | g_loss: 6.2612 2023-06-03 23:14:45 | Epoch [35/50] | Batch 315/509 | d_loss: 0.3653 | g_loss: 4.9764 2023-06-03 23:14:47 | Epoch [35/50] | Batch 320/509 | d_loss: 0.4007 | g_loss: 5.6091 2023-06-03 23:14:48 | Epoch [35/50] | Batch 325/509 | d_loss: 0.4965 | g_loss: 4.4657 2023-06-03 23:14:50 | Epoch [35/50] | Batch 330/509 | d_loss: 0.4928 | g_loss: 3.5449 2023-06-03 23:14:51 | Epoch [35/50] | Batch 335/509 | d_loss: 0.3745 | g_loss: 3.5787 2023-06-03 23:14:53 | Epoch [35/50] | Batch 340/509 | d_loss: 0.5145 | g_loss: 2.4244 2023-06-03 23:14:55 | Epoch [35/50] | Batch 345/509 | d_loss: 2.7907 | g_loss: 0.5619 2023-06-03 23:14:56 | Epoch [35/50] | Batch 350/509 | d_loss: 1.6938 | g_loss: 1.2794 2023-06-03 23:14:58 | Epoch [35/50] | Batch 355/509 | d_loss: 0.5349 | g_loss: 3.6193 2023-06-03 23:15:00 | Epoch [35/50] | Batch 360/509 | d_loss: 0.4967 | g_loss: 2.3888 2023-06-03 23:15:01 | Epoch [35/50] | Batch 365/509 | d_loss: 0.4965 | g_loss: 2.5569 2023-06-03 23:15:03 | Epoch [35/50] | Batch 370/509 | d_loss: 0.5643 | g_loss: 3.1771 2023-06-03 23:15:05 | Epoch [35/50] | Batch 375/509 | d_loss: 0.7140 | g_loss: 0.9014 2023-06-03 23:15:06 | Epoch [35/50] | Batch 380/509 | d_loss: 0.4452 | g_loss: 3.6509 2023-06-03 23:15:08 | Epoch [35/50] | Batch 385/509 | d_loss: 0.6682 | g_loss: 3.1069 2023-06-03 23:15:10 | Epoch [35/50] | Batch 390/509 | d_loss: 0.4868 | g_loss: 3.7079 2023-06-03 23:15:11 | Epoch [35/50] | Batch 395/509 | d_loss: 0.4455 | g_loss: 4.3074 2023-06-03 23:15:13 | Epoch [35/50] | Batch 400/509 | d_loss: 0.7105 | g_loss: 2.7205 2023-06-03 23:15:14 | Epoch [35/50] | Batch 405/509 | d_loss: 0.3840 | g_loss: 3.4141 2023-06-03 23:15:16 | Epoch [35/50] | Batch 410/509 | d_loss: 0.4504 | g_loss: 3.1995 2023-06-03 23:15:18 | Epoch [35/50] | Batch 415/509 | d_loss: 0.3851 | g_loss: 3.6344 2023-06-03 23:15:19 | Epoch [35/50] | Batch 420/509 | d_loss: 0.3744 | g_loss: 3.4259 2023-06-03 23:15:21 | Epoch [35/50] | Batch 425/509 | d_loss: 0.4272 | g_loss: 4.6470 2023-06-03 23:15:23 | Epoch [35/50] | Batch 430/509 | d_loss: 0.4359 | g_loss: 4.0672 2023-06-03 23:15:24 | Epoch [35/50] | Batch 435/509 | d_loss: 0.3542 | g_loss: 5.2849 2023-06-03 23:15:26 | Epoch [35/50] | Batch 440/509 | d_loss: 0.4054 | g_loss: 3.8239 2023-06-03 23:15:28 | Epoch [35/50] | Batch 445/509 | d_loss: 0.6510 | g_loss: 1.5444 2023-06-03 23:15:29 | Epoch [35/50] | Batch 450/509 | d_loss: 0.4548 | g_loss: 4.0118 2023-06-03 23:15:31 | Epoch [35/50] | Batch 455/509 | d_loss: 0.3521 | g_loss: 5.5704 2023-06-03 23:15:32 | Epoch [35/50] | Batch 460/509 | d_loss: 0.3650 | g_loss: 3.3867 2023-06-03 23:15:34 | Epoch [35/50] | Batch 465/509 | d_loss: 0.6531 | g_loss: 5.3133 2023-06-03 23:15:36 | Epoch [35/50] | Batch 470/509 | d_loss: 0.3672 | g_loss: 5.0516 2023-06-03 23:15:37 | Epoch [35/50] | Batch 475/509 | d_loss: 0.3960 | g_loss: 5.2512 2023-06-03 23:15:39 | Epoch [35/50] | Batch 480/509 | d_loss: 0.3723 | g_loss: 4.6324 2023-06-03 23:15:41 | Epoch [35/50] | Batch 485/509 | d_loss: 0.4263 | g_loss: 4.4632 2023-06-03 23:15:42 | Epoch [35/50] | Batch 490/509 | d_loss: 0.4055 | g_loss: 4.4858 2023-06-03 23:15:44 | Epoch [35/50] | Batch 495/509 | d_loss: 0.3802 | g_loss: 4.0125 2023-06-03 23:15:46 | Epoch [35/50] | Batch 500/509 | d_loss: 0.3878 | g_loss: 3.0961 2023-06-03 23:15:47 | Epoch [35/50] | Batch 505/509 | d_loss: 0.3606 | g_loss: 6.0926
2023-06-03 23:15:50 | Epoch [36/50] | Batch 0/509 | d_loss: 0.3820 | g_loss: 4.7028 2023-06-03 23:15:51 | Epoch [36/50] | Batch 5/509 | d_loss: 0.4062 | g_loss: 5.4879 2023-06-03 23:15:53 | Epoch [36/50] | Batch 10/509 | d_loss: 0.3678 | g_loss: 4.6416 2023-06-03 23:15:55 | Epoch [36/50] | Batch 15/509 | d_loss: 0.4686 | g_loss: 2.6680 2023-06-03 23:15:56 | Epoch [36/50] | Batch 20/509 | d_loss: 0.3772 | g_loss: 4.0957 2023-06-03 23:15:58 | Epoch [36/50] | Batch 25/509 | d_loss: 0.3518 | g_loss: 6.0753 2023-06-03 23:15:59 | Epoch [36/50] | Batch 30/509 | d_loss: 0.3608 | g_loss: 5.5651 2023-06-03 23:16:01 | Epoch [36/50] | Batch 35/509 | d_loss: 0.4059 | g_loss: 4.1717 2023-06-03 23:16:03 | Epoch [36/50] | Batch 40/509 | d_loss: 0.3567 | g_loss: 5.8163 2023-06-03 23:16:04 | Epoch [36/50] | Batch 45/509 | d_loss: 0.4961 | g_loss: 2.2672 2023-06-03 23:16:06 | Epoch [36/50] | Batch 50/509 | d_loss: 0.3759 | g_loss: 4.1259 2023-06-03 23:16:08 | Epoch [36/50] | Batch 55/509 | d_loss: 0.4037 | g_loss: 3.0335 2023-06-03 23:16:09 | Epoch [36/50] | Batch 60/509 | d_loss: 0.3894 | g_loss: 3.9288 2023-06-03 23:16:11 | Epoch [36/50] | Batch 65/509 | d_loss: 0.4109 | g_loss: 3.7645 2023-06-03 23:16:13 | Epoch [36/50] | Batch 70/509 | d_loss: 0.3907 | g_loss: 4.6432 2023-06-03 23:16:14 | Epoch [36/50] | Batch 75/509 | d_loss: 0.3939 | g_loss: 5.1829 2023-06-03 23:16:16 | Epoch [36/50] | Batch 80/509 | d_loss: 0.3769 | g_loss: 4.8375 2023-06-03 23:16:17 | Epoch [36/50] | Batch 85/509 | d_loss: 0.4974 | g_loss: 5.1972 2023-06-03 23:16:19 | Epoch [36/50] | Batch 90/509 | d_loss: 0.4928 | g_loss: 2.3680 2023-06-03 23:16:21 | Epoch [36/50] | Batch 95/509 | d_loss: 0.4755 | g_loss: 4.4056 2023-06-03 23:16:22 | Epoch [36/50] | Batch 100/509 | d_loss: 2.1190 | g_loss: 7.0035 2023-06-03 23:16:24 | Epoch [36/50] | Batch 105/509 | d_loss: 0.4618 | g_loss: 2.8871 2023-06-03 23:16:26 | Epoch [36/50] | Batch 110/509 | d_loss: 0.5016 | g_loss: 2.5937 2023-06-03 23:16:27 | Epoch [36/50] | Batch 115/509 | d_loss: 0.4183 | g_loss: 3.7467 2023-06-03 23:16:29 | Epoch [36/50] | Batch 120/509 | d_loss: 0.4419 | g_loss: 2.8319 2023-06-03 23:16:31 | Epoch [36/50] | Batch 125/509 | d_loss: 0.4018 | g_loss: 3.8032 2023-06-03 23:16:32 | Epoch [36/50] | Batch 130/509 | d_loss: 0.4006 | g_loss: 4.0978 2023-06-03 23:16:34 | Epoch [36/50] | Batch 135/509 | d_loss: 0.3809 | g_loss: 3.7097 2023-06-03 23:16:35 | Epoch [36/50] | Batch 140/509 | d_loss: 0.3997 | g_loss: 3.1866 2023-06-03 23:16:37 | Epoch [36/50] | Batch 145/509 | d_loss: 0.4541 | g_loss: 3.9681 2023-06-03 23:16:39 | Epoch [36/50] | Batch 150/509 | d_loss: 0.5058 | g_loss: 3.9278 2023-06-03 23:16:40 | Epoch [36/50] | Batch 155/509 | d_loss: 0.3733 | g_loss: 5.3941 2023-06-03 23:16:42 | Epoch [36/50] | Batch 160/509 | d_loss: 0.5530 | g_loss: 2.6641 2023-06-03 23:16:44 | Epoch [36/50] | Batch 165/509 | d_loss: 0.3966 | g_loss: 3.6714 2023-06-03 23:16:45 | Epoch [36/50] | Batch 170/509 | d_loss: 0.4088 | g_loss: 3.6825 2023-06-03 23:16:47 | Epoch [36/50] | Batch 175/509 | d_loss: 0.6432 | g_loss: 5.0496 2023-06-03 23:16:49 | Epoch [36/50] | Batch 180/509 | d_loss: 0.4944 | g_loss: 4.5752 2023-06-03 23:16:50 | Epoch [36/50] | Batch 185/509 | d_loss: 0.6699 | g_loss: 2.6144 2023-06-03 23:16:52 | Epoch [36/50] | Batch 190/509 | d_loss: 0.8830 | g_loss: 4.2682 2023-06-03 23:16:54 | Epoch [36/50] | Batch 195/509 | d_loss: 0.5179 | g_loss: 3.5686 2023-06-03 23:16:55 | Epoch [36/50] | Batch 200/509 | d_loss: 0.4177 | g_loss: 3.9808 2023-06-03 23:16:57 | Epoch [36/50] | Batch 205/509 | d_loss: 0.3811 | g_loss: 3.8599 2023-06-03 23:16:58 | Epoch [36/50] | Batch 210/509 | d_loss: 0.3685 | g_loss: 3.3951 2023-06-03 23:17:00 | Epoch [36/50] | Batch 215/509 | d_loss: 0.4193 | g_loss: 3.3408 2023-06-03 23:17:02 | Epoch [36/50] | Batch 220/509 | d_loss: 0.4859 | g_loss: 4.0076 2023-06-03 23:17:03 | Epoch [36/50] | Batch 225/509 | d_loss: 0.4172 | g_loss: 3.3723 2023-06-03 23:17:05 | Epoch [36/50] | Batch 230/509 | d_loss: 0.3822 | g_loss: 4.2055 2023-06-03 23:17:07 | Epoch [36/50] | Batch 235/509 | d_loss: 0.3685 | g_loss: 4.1899 2023-06-03 23:17:08 | Epoch [36/50] | Batch 240/509 | d_loss: 0.3612 | g_loss: 6.5415 2023-06-03 23:17:10 | Epoch [36/50] | Batch 245/509 | d_loss: 0.4236 | g_loss: 4.1767 2023-06-03 23:17:12 | Epoch [36/50] | Batch 250/509 | d_loss: 0.3633 | g_loss: 5.5620 2023-06-03 23:17:13 | Epoch [36/50] | Batch 255/509 | d_loss: 0.4167 | g_loss: 2.7351 2023-06-03 23:17:15 | Epoch [36/50] | Batch 260/509 | d_loss: 0.6374 | g_loss: 4.2069 2023-06-03 23:17:16 | Epoch [36/50] | Batch 265/509 | d_loss: 0.4083 | g_loss: 4.3438 2023-06-03 23:17:18 | Epoch [36/50] | Batch 270/509 | d_loss: 0.3988 | g_loss: 5.0587 2023-06-03 23:17:20 | Epoch [36/50] | Batch 275/509 | d_loss: 0.3938 | g_loss: 3.9397 2023-06-03 23:17:21 | Epoch [36/50] | Batch 280/509 | d_loss: 0.3601 | g_loss: 4.9456 2023-06-03 23:17:23 | Epoch [36/50] | Batch 285/509 | d_loss: 0.3968 | g_loss: 3.9446 2023-06-03 23:17:25 | Epoch [36/50] | Batch 290/509 | d_loss: 0.3577 | g_loss: 5.3488 2023-06-03 23:17:26 | Epoch [36/50] | Batch 295/509 | d_loss: 0.3629 | g_loss: 6.1127 2023-06-03 23:17:28 | Epoch [36/50] | Batch 300/509 | d_loss: 0.5011 | g_loss: 2.7475 2023-06-03 23:17:30 | Epoch [36/50] | Batch 305/509 | d_loss: 0.4028 | g_loss: 4.7563 2023-06-03 23:17:31 | Epoch [36/50] | Batch 310/509 | d_loss: 0.3778 | g_loss: 5.0999 2023-06-03 23:17:33 | Epoch [36/50] | Batch 315/509 | d_loss: 0.3560 | g_loss: 5.6880 2023-06-03 23:17:35 | Epoch [36/50] | Batch 320/509 | d_loss: 0.3630 | g_loss: 4.9355 2023-06-03 23:17:36 | Epoch [36/50] | Batch 325/509 | d_loss: 0.3564 | g_loss: 5.1498 2023-06-03 23:17:38 | Epoch [36/50] | Batch 330/509 | d_loss: 0.3611 | g_loss: 3.6649 2023-06-03 23:17:39 | Epoch [36/50] | Batch 335/509 | d_loss: 0.4114 | g_loss: 6.2090 2023-06-03 23:17:41 | Epoch [36/50] | Batch 340/509 | d_loss: 0.4054 | g_loss: 4.5756 2023-06-03 23:17:43 | Epoch [36/50] | Batch 345/509 | d_loss: 0.3617 | g_loss: 4.2841 2023-06-03 23:17:44 | Epoch [36/50] | Batch 350/509 | d_loss: 0.4004 | g_loss: 3.4723 2023-06-03 23:17:46 | Epoch [36/50] | Batch 355/509 | d_loss: 0.3643 | g_loss: 5.4455 2023-06-03 23:17:48 | Epoch [36/50] | Batch 360/509 | d_loss: 0.4012 | g_loss: 4.4138 2023-06-03 23:17:49 | Epoch [36/50] | Batch 365/509 | d_loss: 0.3993 | g_loss: 4.0529 2023-06-03 23:17:51 | Epoch [36/50] | Batch 370/509 | d_loss: 0.3805 | g_loss: 3.4445 2023-06-03 23:17:53 | Epoch [36/50] | Batch 375/509 | d_loss: 0.4360 | g_loss: 4.0761 2023-06-03 23:17:54 | Epoch [36/50] | Batch 380/509 | d_loss: 0.4344 | g_loss: 4.5356 2023-06-03 23:17:56 | Epoch [36/50] | Batch 385/509 | d_loss: 0.4063 | g_loss: 3.9029 2023-06-03 23:17:58 | Epoch [36/50] | Batch 390/509 | d_loss: 0.3530 | g_loss: 6.2602 2023-06-03 23:17:59 | Epoch [36/50] | Batch 395/509 | d_loss: 0.4096 | g_loss: 3.7241 2023-06-03 23:18:01 | Epoch [36/50] | Batch 400/509 | d_loss: 0.3806 | g_loss: 3.5238 2023-06-03 23:18:02 | Epoch [36/50] | Batch 405/509 | d_loss: 0.3531 | g_loss: 4.8470 2023-06-03 23:18:04 | Epoch [36/50] | Batch 410/509 | d_loss: 0.3877 | g_loss: 4.2592 2023-06-03 23:18:06 | Epoch [36/50] | Batch 415/509 | d_loss: 0.3815 | g_loss: 4.2252 2023-06-03 23:18:07 | Epoch [36/50] | Batch 420/509 | d_loss: 0.3795 | g_loss: 3.7390 2023-06-03 23:18:09 | Epoch [36/50] | Batch 425/509 | d_loss: 0.3685 | g_loss: 4.5139 2023-06-03 23:18:11 | Epoch [36/50] | Batch 430/509 | d_loss: 0.3630 | g_loss: 4.2908 2023-06-03 23:18:12 | Epoch [36/50] | Batch 435/509 | d_loss: 0.3513 | g_loss: 5.6650 2023-06-03 23:18:14 | Epoch [36/50] | Batch 440/509 | d_loss: 0.3619 | g_loss: 3.6371 2023-06-03 23:18:16 | Epoch [36/50] | Batch 445/509 | d_loss: 0.5438 | g_loss: 3.6903 2023-06-03 23:18:17 | Epoch [36/50] | Batch 450/509 | d_loss: 0.3484 | g_loss: 5.8439 2023-06-03 23:18:19 | Epoch [36/50] | Batch 455/509 | d_loss: 0.3928 | g_loss: 3.6721 2023-06-03 23:18:20 | Epoch [36/50] | Batch 460/509 | d_loss: 0.3511 | g_loss: 5.3587 2023-06-03 23:18:22 | Epoch [36/50] | Batch 465/509 | d_loss: 0.3737 | g_loss: 4.6176 2023-06-03 23:18:24 | Epoch [36/50] | Batch 470/509 | d_loss: 0.3727 | g_loss: 4.0322 2023-06-03 23:18:25 | Epoch [36/50] | Batch 475/509 | d_loss: 0.3677 | g_loss: 4.1728 2023-06-03 23:18:27 | Epoch [36/50] | Batch 480/509 | d_loss: 0.5824 | g_loss: 2.5581 2023-06-03 23:18:29 | Epoch [36/50] | Batch 485/509 | d_loss: 0.3683 | g_loss: 4.6813 2023-06-03 23:18:30 | Epoch [36/50] | Batch 490/509 | d_loss: 0.4017 | g_loss: 3.3000 2023-06-03 23:18:32 | Epoch [36/50] | Batch 495/509 | d_loss: 0.3959 | g_loss: 4.5789 2023-06-03 23:18:34 | Epoch [36/50] | Batch 500/509 | d_loss: 0.3646 | g_loss: 5.7673 2023-06-03 23:18:35 | Epoch [36/50] | Batch 505/509 | d_loss: 0.3720 | g_loss: 5.4177
2023-06-03 23:18:38 | Epoch [37/50] | Batch 0/509 | d_loss: 0.3698 | g_loss: 5.5775 2023-06-03 23:18:39 | Epoch [37/50] | Batch 5/509 | d_loss: 0.3802 | g_loss: 4.7644 2023-06-03 23:18:41 | Epoch [37/50] | Batch 10/509 | d_loss: 0.6243 | g_loss: 5.0134 2023-06-03 23:18:43 | Epoch [37/50] | Batch 15/509 | d_loss: 0.4042 | g_loss: 3.7536 2023-06-03 23:18:44 | Epoch [37/50] | Batch 20/509 | d_loss: 0.3846 | g_loss: 4.7646 2023-06-03 23:18:46 | Epoch [37/50] | Batch 25/509 | d_loss: 0.3530 | g_loss: 4.3139 2023-06-03 23:18:48 | Epoch [37/50] | Batch 30/509 | d_loss: 0.3593 | g_loss: 6.0683 2023-06-03 23:18:49 | Epoch [37/50] | Batch 35/509 | d_loss: 0.3565 | g_loss: 4.5580 2023-06-03 23:18:51 | Epoch [37/50] | Batch 40/509 | d_loss: 0.3566 | g_loss: 5.9843 2023-06-03 23:18:52 | Epoch [37/50] | Batch 45/509 | d_loss: 0.4356 | g_loss: 4.9271 2023-06-03 23:18:54 | Epoch [37/50] | Batch 50/509 | d_loss: 0.3657 | g_loss: 5.7705 2023-06-03 23:18:56 | Epoch [37/50] | Batch 55/509 | d_loss: 0.3428 | g_loss: 6.3062 2023-06-03 23:18:57 | Epoch [37/50] | Batch 60/509 | d_loss: 0.4140 | g_loss: 3.7089 2023-06-03 23:18:59 | Epoch [37/50] | Batch 65/509 | d_loss: 0.3497 | g_loss: 5.1875 2023-06-03 23:19:01 | Epoch [37/50] | Batch 70/509 | d_loss: 0.3643 | g_loss: 4.2086 2023-06-03 23:19:02 | Epoch [37/50] | Batch 75/509 | d_loss: 0.3470 | g_loss: 4.9501 2023-06-03 23:19:04 | Epoch [37/50] | Batch 80/509 | d_loss: 0.4031 | g_loss: 3.5955 2023-06-03 23:19:06 | Epoch [37/50] | Batch 85/509 | d_loss: 0.4841 | g_loss: 4.1364 2023-06-03 23:19:07 | Epoch [37/50] | Batch 90/509 | d_loss: 4.5803 | g_loss: 0.6021 2023-06-03 23:19:09 | Epoch [37/50] | Batch 95/509 | d_loss: 1.5783 | g_loss: 5.8034 2023-06-03 23:19:10 | Epoch [37/50] | Batch 100/509 | d_loss: 0.4844 | g_loss: 2.9600 2023-06-03 23:19:12 | Epoch [37/50] | Batch 105/509 | d_loss: 0.9467 | g_loss: 2.8967 2023-06-03 23:19:14 | Epoch [37/50] | Batch 110/509 | d_loss: 0.6262 | g_loss: 2.8450 2023-06-03 23:19:15 | Epoch [37/50] | Batch 115/509 | d_loss: 0.5953 | g_loss: 3.3270 2023-06-03 23:19:17 | Epoch [37/50] | Batch 120/509 | d_loss: 0.8093 | g_loss: 2.1817 2023-06-03 23:19:19 | Epoch [37/50] | Batch 125/509 | d_loss: 0.5226 | g_loss: 3.2967 2023-06-03 23:19:20 | Epoch [37/50] | Batch 130/509 | d_loss: 0.7672 | g_loss: 2.1077 2023-06-03 23:19:22 | Epoch [37/50] | Batch 135/509 | d_loss: 0.4219 | g_loss: 3.2932 2023-06-03 23:19:24 | Epoch [37/50] | Batch 140/509 | d_loss: 0.6757 | g_loss: 2.8070 2023-06-03 23:19:25 | Epoch [37/50] | Batch 145/509 | d_loss: 0.4092 | g_loss: 3.0343 2023-06-03 23:19:27 | Epoch [37/50] | Batch 150/509 | d_loss: 0.3985 | g_loss: 3.6771 2023-06-03 23:19:29 | Epoch [37/50] | Batch 155/509 | d_loss: 0.4101 | g_loss: 4.0656 2023-06-03 23:19:30 | Epoch [37/50] | Batch 160/509 | d_loss: 0.4656 | g_loss: 3.6815 2023-06-03 23:19:32 | Epoch [37/50] | Batch 165/509 | d_loss: 0.4585 | g_loss: 2.9003 2023-06-03 23:19:33 | Epoch [37/50] | Batch 170/509 | d_loss: 0.4317 | g_loss: 4.0852 2023-06-03 23:19:35 | Epoch [37/50] | Batch 175/509 | d_loss: 0.5713 | g_loss: 3.3433 2023-06-03 23:19:37 | Epoch [37/50] | Batch 180/509 | d_loss: 0.3651 | g_loss: 6.6758 2023-06-03 23:19:38 | Epoch [37/50] | Batch 185/509 | d_loss: 0.4538 | g_loss: 3.6361 2023-06-03 23:19:40 | Epoch [37/50] | Batch 190/509 | d_loss: 0.3863 | g_loss: 4.1781 2023-06-03 23:19:42 | Epoch [37/50] | Batch 195/509 | d_loss: 0.3790 | g_loss: 4.5709 2023-06-03 23:19:43 | Epoch [37/50] | Batch 200/509 | d_loss: 0.3989 | g_loss: 4.3997 2023-06-03 23:19:45 | Epoch [37/50] | Batch 205/509 | d_loss: 0.4006 | g_loss: 3.7110 2023-06-03 23:19:47 | Epoch [37/50] | Batch 210/509 | d_loss: 0.3806 | g_loss: 4.7726 2023-06-03 23:19:48 | Epoch [37/50] | Batch 215/509 | d_loss: 0.3643 | g_loss: 4.1417 2023-06-03 23:19:50 | Epoch [37/50] | Batch 220/509 | d_loss: 0.3917 | g_loss: 4.0612 2023-06-03 23:19:51 | Epoch [37/50] | Batch 225/509 | d_loss: 0.4059 | g_loss: 4.9929 2023-06-03 23:19:53 | Epoch [37/50] | Batch 230/509 | d_loss: 0.4253 | g_loss: 4.9011 2023-06-03 23:19:55 | Epoch [37/50] | Batch 235/509 | d_loss: 0.5730 | g_loss: 1.7646 2023-06-03 23:19:56 | Epoch [37/50] | Batch 240/509 | d_loss: 0.4497 | g_loss: 3.4684 2023-06-03 23:19:58 | Epoch [37/50] | Batch 245/509 | d_loss: 0.4117 | g_loss: 4.5804 2023-06-03 23:20:00 | Epoch [37/50] | Batch 250/509 | d_loss: 0.5720 | g_loss: 2.6391 2023-06-03 23:20:01 | Epoch [37/50] | Batch 255/509 | d_loss: 0.4765 | g_loss: 3.9779 2023-06-03 23:20:03 | Epoch [37/50] | Batch 260/509 | d_loss: 0.4236 | g_loss: 3.1022 2023-06-03 23:20:05 | Epoch [37/50] | Batch 265/509 | d_loss: 0.4181 | g_loss: 4.5645 2023-06-03 23:20:06 | Epoch [37/50] | Batch 270/509 | d_loss: 0.4629 | g_loss: 3.8471 2023-06-03 23:20:08 | Epoch [37/50] | Batch 275/509 | d_loss: 0.3857 | g_loss: 5.4935 2023-06-03 23:20:09 | Epoch [37/50] | Batch 280/509 | d_loss: 0.5229 | g_loss: 2.2688 2023-06-03 23:20:11 | Epoch [37/50] | Batch 285/509 | d_loss: 0.5649 | g_loss: 4.9315 2023-06-03 23:20:13 | Epoch [37/50] | Batch 290/509 | d_loss: 0.6472 | g_loss: 3.4203 2023-06-03 23:20:14 | Epoch [37/50] | Batch 295/509 | d_loss: 0.3772 | g_loss: 5.5628 2023-06-03 23:20:16 | Epoch [37/50] | Batch 300/509 | d_loss: 0.4003 | g_loss: 4.3057 2023-06-03 23:20:18 | Epoch [37/50] | Batch 305/509 | d_loss: 0.4131 | g_loss: 4.5225 2023-06-03 23:20:19 | Epoch [37/50] | Batch 310/509 | d_loss: 0.3741 | g_loss: 3.9038 2023-06-03 23:20:21 | Epoch [37/50] | Batch 315/509 | d_loss: 0.4343 | g_loss: 4.3966 2023-06-03 23:20:23 | Epoch [37/50] | Batch 320/509 | d_loss: 0.3690 | g_loss: 3.3585 2023-06-03 23:20:24 | Epoch [37/50] | Batch 325/509 | d_loss: 0.4415 | g_loss: 5.2041 2023-06-03 23:20:26 | Epoch [37/50] | Batch 330/509 | d_loss: 0.4094 | g_loss: 3.8071 2023-06-03 23:20:28 | Epoch [37/50] | Batch 335/509 | d_loss: 0.3572 | g_loss: 4.9343 2023-06-03 23:20:29 | Epoch [37/50] | Batch 340/509 | d_loss: 0.4136 | g_loss: 4.7829 2023-06-03 23:20:31 | Epoch [37/50] | Batch 345/509 | d_loss: 0.4867 | g_loss: 5.4249 2023-06-03 23:20:32 | Epoch [37/50] | Batch 350/509 | d_loss: 0.4031 | g_loss: 3.9166 2023-06-03 23:20:34 | Epoch [37/50] | Batch 355/509 | d_loss: 0.4298 | g_loss: 5.3195 2023-06-03 23:20:36 | Epoch [37/50] | Batch 360/509 | d_loss: 0.5148 | g_loss: 2.8242 2023-06-03 23:20:37 | Epoch [37/50] | Batch 365/509 | d_loss: 0.3491 | g_loss: 4.2116 2023-06-03 23:20:39 | Epoch [37/50] | Batch 370/509 | d_loss: 0.3698 | g_loss: 4.8755 2023-06-03 23:20:41 | Epoch [37/50] | Batch 375/509 | d_loss: 0.3711 | g_loss: 4.7154 2023-06-03 23:20:42 | Epoch [37/50] | Batch 380/509 | d_loss: 0.4550 | g_loss: 4.2135 2023-06-03 23:20:44 | Epoch [37/50] | Batch 385/509 | d_loss: 0.3583 | g_loss: 4.1035 2023-06-03 23:20:46 | Epoch [37/50] | Batch 390/509 | d_loss: 0.3641 | g_loss: 4.2885 2023-06-03 23:20:47 | Epoch [37/50] | Batch 395/509 | d_loss: 0.3755 | g_loss: 4.6694 2023-06-03 23:20:49 | Epoch [37/50] | Batch 400/509 | d_loss: 0.3937 | g_loss: 3.6898 2023-06-03 23:20:50 | Epoch [37/50] | Batch 405/509 | d_loss: 0.4063 | g_loss: 4.2062 2023-06-03 23:20:52 | Epoch [37/50] | Batch 410/509 | d_loss: 0.3566 | g_loss: 4.0673 2023-06-03 23:20:54 | Epoch [37/50] | Batch 415/509 | d_loss: 0.3711 | g_loss: 3.8400 2023-06-03 23:20:55 | Epoch [37/50] | Batch 420/509 | d_loss: 0.3560 | g_loss: 5.7600 2023-06-03 23:20:57 | Epoch [37/50] | Batch 425/509 | d_loss: 0.3567 | g_loss: 5.1340 2023-06-03 23:20:59 | Epoch [37/50] | Batch 430/509 | d_loss: 0.4905 | g_loss: 4.0417 2023-06-03 23:21:00 | Epoch [37/50] | Batch 435/509 | d_loss: 0.3870 | g_loss: 3.8110 2023-06-03 23:21:02 | Epoch [37/50] | Batch 440/509 | d_loss: 0.3851 | g_loss: 3.5780 2023-06-03 23:21:04 | Epoch [37/50] | Batch 445/509 | d_loss: 0.5046 | g_loss: 3.3993 2023-06-03 23:21:05 | Epoch [37/50] | Batch 450/509 | d_loss: 0.3477 | g_loss: 5.6577 2023-06-03 23:21:07 | Epoch [37/50] | Batch 455/509 | d_loss: 0.3538 | g_loss: 4.0251 2023-06-03 23:21:08 | Epoch [37/50] | Batch 460/509 | d_loss: 0.5948 | g_loss: 1.8152 2023-06-03 23:21:10 | Epoch [37/50] | Batch 465/509 | d_loss: 0.3730 | g_loss: 4.7006 2023-06-03 23:21:12 | Epoch [37/50] | Batch 470/509 | d_loss: 0.3682 | g_loss: 4.0234 2023-06-03 23:21:13 | Epoch [37/50] | Batch 475/509 | d_loss: 0.3891 | g_loss: 3.6665 2023-06-03 23:21:15 | Epoch [37/50] | Batch 480/509 | d_loss: 0.3743 | g_loss: 3.7911 2023-06-03 23:21:17 | Epoch [37/50] | Batch 485/509 | d_loss: 0.3677 | g_loss: 4.3250 2023-06-03 23:21:18 | Epoch [37/50] | Batch 490/509 | d_loss: 0.3544 | g_loss: 4.0750 2023-06-03 23:21:20 | Epoch [37/50] | Batch 495/509 | d_loss: 0.4511 | g_loss: 4.4532 2023-06-03 23:21:22 | Epoch [37/50] | Batch 500/509 | d_loss: 0.4190 | g_loss: 4.7816 2023-06-03 23:21:23 | Epoch [37/50] | Batch 505/509 | d_loss: 0.3572 | g_loss: 5.7605
2023-06-03 23:21:26 | Epoch [38/50] | Batch 0/509 | d_loss: 0.3851 | g_loss: 5.2062 2023-06-03 23:21:27 | Epoch [38/50] | Batch 5/509 | d_loss: 0.3598 | g_loss: 7.3045 2023-06-03 23:21:29 | Epoch [38/50] | Batch 10/509 | d_loss: 0.3748 | g_loss: 3.9795 2023-06-03 23:21:31 | Epoch [38/50] | Batch 15/509 | d_loss: 0.3666 | g_loss: 4.8226 2023-06-03 23:21:32 | Epoch [38/50] | Batch 20/509 | d_loss: 0.3467 | g_loss: 7.5764 2023-06-03 23:21:34 | Epoch [38/50] | Batch 25/509 | d_loss: 0.4887 | g_loss: 3.7627 2023-06-03 23:21:36 | Epoch [38/50] | Batch 30/509 | d_loss: 0.3811 | g_loss: 4.1719 2023-06-03 23:21:37 | Epoch [38/50] | Batch 35/509 | d_loss: 0.3710 | g_loss: 5.0392 2023-06-03 23:21:39 | Epoch [38/50] | Batch 40/509 | d_loss: 0.4952 | g_loss: 3.5002 2023-06-03 23:21:41 | Epoch [38/50] | Batch 45/509 | d_loss: 0.3686 | g_loss: 4.5460 2023-06-03 23:21:42 | Epoch [38/50] | Batch 50/509 | d_loss: 0.4719 | g_loss: 4.2441 2023-06-03 23:21:44 | Epoch [38/50] | Batch 55/509 | d_loss: 0.3849 | g_loss: 5.1461 2023-06-03 23:21:46 | Epoch [38/50] | Batch 60/509 | d_loss: 0.4013 | g_loss: 4.4456 2023-06-03 23:21:47 | Epoch [38/50] | Batch 65/509 | d_loss: 0.3820 | g_loss: 4.3186 2023-06-03 23:21:49 | Epoch [38/50] | Batch 70/509 | d_loss: 0.3643 | g_loss: 4.8663 2023-06-03 23:21:50 | Epoch [38/50] | Batch 75/509 | d_loss: 0.4059 | g_loss: 4.0225 2023-06-03 23:21:52 | Epoch [38/50] | Batch 80/509 | d_loss: 0.3901 | g_loss: 4.6055 2023-06-03 23:21:54 | Epoch [38/50] | Batch 85/509 | d_loss: 0.3745 | g_loss: 4.7995 2023-06-03 23:21:55 | Epoch [38/50] | Batch 90/509 | d_loss: 0.3610 | g_loss: 3.9603 2023-06-03 23:21:57 | Epoch [38/50] | Batch 95/509 | d_loss: 0.4037 | g_loss: 5.4474 2023-06-03 23:21:59 | Epoch [38/50] | Batch 100/509 | d_loss: 0.4244 | g_loss: 4.1161 2023-06-03 23:22:00 | Epoch [38/50] | Batch 105/509 | d_loss: 0.4622 | g_loss: 3.2226 2023-06-03 23:22:02 | Epoch [38/50] | Batch 110/509 | d_loss: 0.3659 | g_loss: 4.1263 2023-06-03 23:22:04 | Epoch [38/50] | Batch 115/509 | d_loss: 0.3569 | g_loss: 5.6060 2023-06-03 23:22:05 | Epoch [38/50] | Batch 120/509 | d_loss: 0.3510 | g_loss: 5.0221 2023-06-03 23:22:07 | Epoch [38/50] | Batch 125/509 | d_loss: 0.3931 | g_loss: 5.2358 2023-06-03 23:22:08 | Epoch [38/50] | Batch 130/509 | d_loss: 0.4700 | g_loss: 4.3810 2023-06-03 23:22:10 | Epoch [38/50] | Batch 135/509 | d_loss: 0.4583 | g_loss: 2.7627 2023-06-03 23:22:12 | Epoch [38/50] | Batch 140/509 | d_loss: 0.3861 | g_loss: 4.6173 2023-06-03 23:22:13 | Epoch [38/50] | Batch 145/509 | d_loss: 0.3596 | g_loss: 5.4151 2023-06-03 23:22:15 | Epoch [38/50] | Batch 150/509 | d_loss: 0.3524 | g_loss: 4.3923 2023-06-03 23:22:17 | Epoch [38/50] | Batch 155/509 | d_loss: 0.3847 | g_loss: 4.2474 2023-06-03 23:22:18 | Epoch [38/50] | Batch 160/509 | d_loss: 0.3611 | g_loss: 4.6114 2023-06-03 23:22:20 | Epoch [38/50] | Batch 165/509 | d_loss: 0.6231 | g_loss: 4.9666 2023-06-03 23:22:22 | Epoch [38/50] | Batch 170/509 | d_loss: 0.4531 | g_loss: 4.2230 2023-06-03 23:22:23 | Epoch [38/50] | Batch 175/509 | d_loss: 0.3593 | g_loss: 4.2318 2023-06-03 23:22:25 | Epoch [38/50] | Batch 180/509 | d_loss: 0.3518 | g_loss: 5.5309 2023-06-03 23:22:27 | Epoch [38/50] | Batch 185/509 | d_loss: 0.4449 | g_loss: 2.1470 2023-06-03 23:22:28 | Epoch [38/50] | Batch 190/509 | d_loss: 0.3643 | g_loss: 4.7052 2023-06-03 23:22:30 | Epoch [38/50] | Batch 195/509 | d_loss: 0.3838 | g_loss: 3.7414 2023-06-03 23:22:31 | Epoch [38/50] | Batch 200/509 | d_loss: 0.3539 | g_loss: 4.6202 2023-06-03 23:22:33 | Epoch [38/50] | Batch 205/509 | d_loss: 0.3982 | g_loss: 3.7623 2023-06-03 23:22:35 | Epoch [38/50] | Batch 210/509 | d_loss: 0.3754 | g_loss: 4.6782 2023-06-03 23:22:36 | Epoch [38/50] | Batch 215/509 | d_loss: 0.3615 | g_loss: 4.5223 2023-06-03 23:22:38 | Epoch [38/50] | Batch 220/509 | d_loss: 0.5623 | g_loss: 4.5900 2023-06-03 23:22:40 | Epoch [38/50] | Batch 225/509 | d_loss: 0.6199 | g_loss: 4.5357 2023-06-03 23:22:41 | Epoch [38/50] | Batch 230/509 | d_loss: 1.4288 | g_loss: 6.2899 2023-06-03 23:22:43 | Epoch [38/50] | Batch 235/509 | d_loss: 1.5529 | g_loss: 5.1628 2023-06-03 23:22:45 | Epoch [38/50] | Batch 240/509 | d_loss: 0.4480 | g_loss: 2.9837 2023-06-03 23:22:46 | Epoch [38/50] | Batch 245/509 | d_loss: 0.5857 | g_loss: 3.3116 2023-06-03 23:22:48 | Epoch [38/50] | Batch 250/509 | d_loss: 0.7495 | g_loss: 3.1756 2023-06-03 23:22:49 | Epoch [38/50] | Batch 255/509 | d_loss: 0.5246 | g_loss: 3.7961 2023-06-03 23:22:51 | Epoch [38/50] | Batch 260/509 | d_loss: 0.5748 | g_loss: 3.8015 2023-06-03 23:22:53 | Epoch [38/50] | Batch 265/509 | d_loss: 0.4385 | g_loss: 4.0985 2023-06-03 23:22:54 | Epoch [38/50] | Batch 270/509 | d_loss: 0.4889 | g_loss: 2.6803 2023-06-03 23:22:56 | Epoch [38/50] | Batch 275/509 | d_loss: 0.4522 | g_loss: 5.3542 2023-06-03 23:22:58 | Epoch [38/50] | Batch 280/509 | d_loss: 0.4081 | g_loss: 3.3413 2023-06-03 23:22:59 | Epoch [38/50] | Batch 285/509 | d_loss: 0.4256 | g_loss: 3.9009 2023-06-03 23:23:01 | Epoch [38/50] | Batch 290/509 | d_loss: 0.5405 | g_loss: 2.3621 2023-06-03 23:23:03 | Epoch [38/50] | Batch 295/509 | d_loss: 0.3838 | g_loss: 4.6431 2023-06-03 23:23:04 | Epoch [38/50] | Batch 300/509 | d_loss: 0.3734 | g_loss: 4.0460 2023-06-03 23:23:06 | Epoch [38/50] | Batch 305/509 | d_loss: 0.4016 | g_loss: 4.3803 2023-06-03 23:23:07 | Epoch [38/50] | Batch 310/509 | d_loss: 0.5038 | g_loss: 4.3666 2023-06-03 23:23:09 | Epoch [38/50] | Batch 315/509 | d_loss: 0.3735 | g_loss: 4.7037 2023-06-03 23:23:11 | Epoch [38/50] | Batch 320/509 | d_loss: 0.4250 | g_loss: 3.8035 2023-06-03 23:23:12 | Epoch [38/50] | Batch 325/509 | d_loss: 0.3701 | g_loss: 4.4496 2023-06-03 23:23:14 | Epoch [38/50] | Batch 330/509 | d_loss: 0.3964 | g_loss: 3.8518 2023-06-03 23:23:16 | Epoch [38/50] | Batch 335/509 | d_loss: 0.4803 | g_loss: 3.6003 2023-06-03 23:23:17 | Epoch [38/50] | Batch 340/509 | d_loss: 0.3655 | g_loss: 4.5945 2023-06-03 23:23:19 | Epoch [38/50] | Batch 345/509 | d_loss: 0.3623 | g_loss: 4.8048 2023-06-03 23:23:21 | Epoch [38/50] | Batch 350/509 | d_loss: 0.4103 | g_loss: 3.7399 2023-06-03 23:23:22 | Epoch [38/50] | Batch 355/509 | d_loss: 0.3778 | g_loss: 5.1614 2023-06-03 23:23:24 | Epoch [38/50] | Batch 360/509 | d_loss: 0.4125 | g_loss: 3.9892 2023-06-03 23:23:26 | Epoch [38/50] | Batch 365/509 | d_loss: 0.3759 | g_loss: 4.8009 2023-06-03 23:23:27 | Epoch [38/50] | Batch 370/509 | d_loss: 0.3592 | g_loss: 4.4939 2023-06-03 23:23:29 | Epoch [38/50] | Batch 375/509 | d_loss: 0.3951 | g_loss: 4.5958 2023-06-03 23:23:30 | Epoch [38/50] | Batch 380/509 | d_loss: 0.3940 | g_loss: 4.5145 2023-06-03 23:23:32 | Epoch [38/50] | Batch 385/509 | d_loss: 0.3514 | g_loss: 5.5590 2023-06-03 23:23:34 | Epoch [38/50] | Batch 390/509 | d_loss: 0.4212 | g_loss: 3.2432 2023-06-03 23:23:35 | Epoch [38/50] | Batch 395/509 | d_loss: 0.3822 | g_loss: 3.7283 2023-06-03 23:23:37 | Epoch [38/50] | Batch 400/509 | d_loss: 0.3699 | g_loss: 4.3203 2023-06-03 23:23:39 | Epoch [38/50] | Batch 405/509 | d_loss: 0.3851 | g_loss: 4.1539 2023-06-03 23:23:40 | Epoch [38/50] | Batch 410/509 | d_loss: 0.3901 | g_loss: 4.6899 2023-06-03 23:23:42 | Epoch [38/50] | Batch 415/509 | d_loss: 0.3725 | g_loss: 3.8962 2023-06-03 23:23:44 | Epoch [38/50] | Batch 420/509 | d_loss: 0.7529 | g_loss: 8.2615 2023-06-03 23:23:45 | Epoch [38/50] | Batch 425/509 | d_loss: 1.0484 | g_loss: 1.2069 2023-06-03 23:23:47 | Epoch [38/50] | Batch 430/509 | d_loss: 0.4433 | g_loss: 3.9210 2023-06-03 23:23:48 | Epoch [38/50] | Batch 435/509 | d_loss: 0.5496 | g_loss: 3.8141 2023-06-03 23:23:50 | Epoch [38/50] | Batch 440/509 | d_loss: 0.4893 | g_loss: 2.6283 2023-06-03 23:23:52 | Epoch [38/50] | Batch 445/509 | d_loss: 0.6086 | g_loss: 4.1200 2023-06-03 23:23:53 | Epoch [38/50] | Batch 450/509 | d_loss: 0.4899 | g_loss: 3.4313 2023-06-03 23:23:55 | Epoch [38/50] | Batch 455/509 | d_loss: 0.4771 | g_loss: 2.9954 2023-06-03 23:23:57 | Epoch [38/50] | Batch 460/509 | d_loss: 0.5320 | g_loss: 4.0955 2023-06-03 23:23:58 | Epoch [38/50] | Batch 465/509 | d_loss: 0.4199 | g_loss: 3.7376 2023-06-03 23:24:00 | Epoch [38/50] | Batch 470/509 | d_loss: 0.4286 | g_loss: 3.2579 2023-06-03 23:24:02 | Epoch [38/50] | Batch 475/509 | d_loss: 0.4491 | g_loss: 3.7249 2023-06-03 23:24:03 | Epoch [38/50] | Batch 480/509 | d_loss: 0.5282 | g_loss: 5.3296 2023-06-03 23:24:05 | Epoch [38/50] | Batch 485/509 | d_loss: 0.4827 | g_loss: 4.1604 2023-06-03 23:24:07 | Epoch [38/50] | Batch 490/509 | d_loss: 0.4456 | g_loss: 4.5842 2023-06-03 23:24:08 | Epoch [38/50] | Batch 495/509 | d_loss: 0.4286 | g_loss: 2.7340 2023-06-03 23:24:10 | Epoch [38/50] | Batch 500/509 | d_loss: 0.3663 | g_loss: 5.0037 2023-06-03 23:24:11 | Epoch [38/50] | Batch 505/509 | d_loss: 0.4325 | g_loss: 3.4665
2023-06-03 23:24:14 | Epoch [39/50] | Batch 0/509 | d_loss: 0.4888 | g_loss: 4.5218 2023-06-03 23:24:16 | Epoch [39/50] | Batch 5/509 | d_loss: 0.3895 | g_loss: 4.1032 2023-06-03 23:24:17 | Epoch [39/50] | Batch 10/509 | d_loss: 0.4308 | g_loss: 3.2624 2023-06-03 23:24:19 | Epoch [39/50] | Batch 15/509 | d_loss: 0.4271 | g_loss: 5.6815 2023-06-03 23:24:20 | Epoch [39/50] | Batch 20/509 | d_loss: 0.4927 | g_loss: 4.6484 2023-06-03 23:24:22 | Epoch [39/50] | Batch 25/509 | d_loss: 0.3994 | g_loss: 3.3414 2023-06-03 23:24:24 | Epoch [39/50] | Batch 30/509 | d_loss: 0.3897 | g_loss: 3.4530 2023-06-03 23:24:25 | Epoch [39/50] | Batch 35/509 | d_loss: 0.3864 | g_loss: 3.9895 2023-06-03 23:24:27 | Epoch [39/50] | Batch 40/509 | d_loss: 0.3991 | g_loss: 4.7238 2023-06-03 23:24:29 | Epoch [39/50] | Batch 45/509 | d_loss: 0.4039 | g_loss: 2.5243 2023-06-03 23:24:30 | Epoch [39/50] | Batch 50/509 | d_loss: 0.3846 | g_loss: 4.6932 2023-06-03 23:24:32 | Epoch [39/50] | Batch 55/509 | d_loss: 0.4129 | g_loss: 4.3364 2023-06-03 23:24:34 | Epoch [39/50] | Batch 60/509 | d_loss: 0.3765 | g_loss: 3.4879 2023-06-03 23:24:35 | Epoch [39/50] | Batch 65/509 | d_loss: 0.4006 | g_loss: 3.8542 2023-06-03 23:24:37 | Epoch [39/50] | Batch 70/509 | d_loss: 0.4597 | g_loss: 4.0265 2023-06-03 23:24:38 | Epoch [39/50] | Batch 75/509 | d_loss: 0.4695 | g_loss: 4.4169 2023-06-03 23:24:40 | Epoch [39/50] | Batch 80/509 | d_loss: 0.3731 | g_loss: 4.0706 2023-06-03 23:24:42 | Epoch [39/50] | Batch 85/509 | d_loss: 0.5270 | g_loss: 4.6508 2023-06-03 23:24:43 | Epoch [39/50] | Batch 90/509 | d_loss: 0.3742 | g_loss: 4.3761 2023-06-03 23:24:45 | Epoch [39/50] | Batch 95/509 | d_loss: 0.3555 | g_loss: 5.3029 2023-06-03 23:24:47 | Epoch [39/50] | Batch 100/509 | d_loss: 0.7084 | g_loss: 5.1267 2023-06-03 23:24:48 | Epoch [39/50] | Batch 105/509 | d_loss: 0.5346 | g_loss: 3.0195 2023-06-03 23:24:50 | Epoch [39/50] | Batch 110/509 | d_loss: 0.3737 | g_loss: 4.2972 2023-06-03 23:24:52 | Epoch [39/50] | Batch 115/509 | d_loss: 0.3491 | g_loss: 4.7637 2023-06-03 23:24:53 | Epoch [39/50] | Batch 120/509 | d_loss: 0.4160 | g_loss: 2.9198 2023-06-03 23:24:55 | Epoch [39/50] | Batch 125/509 | d_loss: 0.4074 | g_loss: 4.3594 2023-06-03 23:24:56 | Epoch [39/50] | Batch 130/509 | d_loss: 0.3461 | g_loss: 6.5228 2023-06-03 23:24:58 | Epoch [39/50] | Batch 135/509 | d_loss: 0.4595 | g_loss: 2.4983 2023-06-03 23:25:00 | Epoch [39/50] | Batch 140/509 | d_loss: 0.4011 | g_loss: 4.4744 2023-06-03 23:25:01 | Epoch [39/50] | Batch 145/509 | d_loss: 0.3862 | g_loss: 6.4397 2023-06-03 23:25:03 | Epoch [39/50] | Batch 150/509 | d_loss: 0.3781 | g_loss: 4.9320 2023-06-03 23:25:05 | Epoch [39/50] | Batch 155/509 | d_loss: 1.1315 | g_loss: 7.9688 2023-06-03 23:25:06 | Epoch [39/50] | Batch 160/509 | d_loss: 1.2145 | g_loss: 2.7375 2023-06-03 23:25:08 | Epoch [39/50] | Batch 165/509 | d_loss: 1.0571 | g_loss: 4.8380 2023-06-03 23:25:10 | Epoch [39/50] | Batch 170/509 | d_loss: 0.5169 | g_loss: 1.8653 2023-06-03 23:25:11 | Epoch [39/50] | Batch 175/509 | d_loss: 0.5421 | g_loss: 3.9289 2023-06-03 23:25:13 | Epoch [39/50] | Batch 180/509 | d_loss: 0.5965 | g_loss: 2.4555 2023-06-03 23:25:14 | Epoch [39/50] | Batch 185/509 | d_loss: 0.5272 | g_loss: 3.1921 2023-06-03 23:25:16 | Epoch [39/50] | Batch 190/509 | d_loss: 0.6701 | g_loss: 5.0714 2023-06-03 23:25:18 | Epoch [39/50] | Batch 195/509 | d_loss: 0.4265 | g_loss: 2.8410 2023-06-03 23:25:19 | Epoch [39/50] | Batch 200/509 | d_loss: 0.6643 | g_loss: 2.8672 2023-06-03 23:25:21 | Epoch [39/50] | Batch 205/509 | d_loss: 0.4270 | g_loss: 3.4399 2023-06-03 23:25:23 | Epoch [39/50] | Batch 210/509 | d_loss: 0.4374 | g_loss: 3.9116 2023-06-03 23:25:24 | Epoch [39/50] | Batch 215/509 | d_loss: 0.5059 | g_loss: 3.6548 2023-06-03 23:25:26 | Epoch [39/50] | Batch 220/509 | d_loss: 0.5319 | g_loss: 3.1592 2023-06-03 23:25:28 | Epoch [39/50] | Batch 225/509 | d_loss: 0.4120 | g_loss: 3.2684 2023-06-03 23:25:29 | Epoch [39/50] | Batch 230/509 | d_loss: 0.4852 | g_loss: 3.6386 2023-06-03 23:25:31 | Epoch [39/50] | Batch 235/509 | d_loss: 0.5037 | g_loss: 3.9212 2023-06-03 23:25:32 | Epoch [39/50] | Batch 240/509 | d_loss: 0.3959 | g_loss: 4.2698 2023-06-03 23:25:34 | Epoch [39/50] | Batch 245/509 | d_loss: 0.4067 | g_loss: 3.6267 2023-06-03 23:25:36 | Epoch [39/50] | Batch 250/509 | d_loss: 0.4005 | g_loss: 3.7101 2023-06-03 23:25:37 | Epoch [39/50] | Batch 255/509 | d_loss: 0.4197 | g_loss: 4.7208 2023-06-03 23:25:39 | Epoch [39/50] | Batch 260/509 | d_loss: 0.3612 | g_loss: 5.2305 2023-06-03 23:25:41 | Epoch [39/50] | Batch 265/509 | d_loss: 0.3794 | g_loss: 5.0109 2023-06-03 23:25:42 | Epoch [39/50] | Batch 270/509 | d_loss: 0.3908 | g_loss: 4.1030 2023-06-03 23:25:44 | Epoch [39/50] | Batch 275/509 | d_loss: 0.3935 | g_loss: 3.9030 2023-06-03 23:25:46 | Epoch [39/50] | Batch 280/509 | d_loss: 0.4025 | g_loss: 4.1015 2023-06-03 23:25:47 | Epoch [39/50] | Batch 285/509 | d_loss: 0.3597 | g_loss: 4.2385 2023-06-03 23:25:49 | Epoch [39/50] | Batch 290/509 | d_loss: 0.3929 | g_loss: 3.8063 2023-06-03 23:25:50 | Epoch [39/50] | Batch 295/509 | d_loss: 0.3853 | g_loss: 5.7145 2023-06-03 23:25:52 | Epoch [39/50] | Batch 300/509 | d_loss: 0.4040 | g_loss: 4.3017 2023-06-03 23:25:54 | Epoch [39/50] | Batch 305/509 | d_loss: 0.3681 | g_loss: 4.9151 2023-06-03 23:25:55 | Epoch [39/50] | Batch 310/509 | d_loss: 0.4391 | g_loss: 4.1901 2023-06-03 23:25:57 | Epoch [39/50] | Batch 315/509 | d_loss: 0.3490 | g_loss: 4.5741 2023-06-03 23:25:59 | Epoch [39/50] | Batch 320/509 | d_loss: 0.3844 | g_loss: 4.2793 2023-06-03 23:26:00 | Epoch [39/50] | Batch 325/509 | d_loss: 0.3805 | g_loss: 4.0953 2023-06-03 23:26:02 | Epoch [39/50] | Batch 330/509 | d_loss: 0.4651 | g_loss: 3.0085 2023-06-03 23:26:04 | Epoch [39/50] | Batch 335/509 | d_loss: 0.3629 | g_loss: 4.8846 2023-06-03 23:26:05 | Epoch [39/50] | Batch 340/509 | d_loss: 0.3842 | g_loss: 4.0361 2023-06-03 23:26:07 | Epoch [39/50] | Batch 345/509 | d_loss: 0.4208 | g_loss: 4.2795 2023-06-03 23:26:08 | Epoch [39/50] | Batch 350/509 | d_loss: 0.3689 | g_loss: 3.8694 2023-06-03 23:26:10 | Epoch [39/50] | Batch 355/509 | d_loss: 0.5150 | g_loss: 2.5705 2023-06-03 23:26:12 | Epoch [39/50] | Batch 360/509 | d_loss: 0.3755 | g_loss: 4.9174 2023-06-03 23:26:13 | Epoch [39/50] | Batch 365/509 | d_loss: 0.3666 | g_loss: 4.6503 2023-06-03 23:26:15 | Epoch [39/50] | Batch 370/509 | d_loss: 0.3573 | g_loss: 5.0590 2023-06-03 23:26:17 | Epoch [39/50] | Batch 375/509 | d_loss: 0.3498 | g_loss: 5.7495 2023-06-03 23:26:18 | Epoch [39/50] | Batch 380/509 | d_loss: 0.4462 | g_loss: 3.2564 2023-06-03 23:26:20 | Epoch [39/50] | Batch 385/509 | d_loss: 0.3603 | g_loss: 4.2834 2023-06-03 23:26:22 | Epoch [39/50] | Batch 390/509 | d_loss: 0.4320 | g_loss: 3.0609 2023-06-03 23:26:23 | Epoch [39/50] | Batch 395/509 | d_loss: 0.3819 | g_loss: 4.1863 2023-06-03 23:26:25 | Epoch [39/50] | Batch 400/509 | d_loss: 0.3678 | g_loss: 4.0120 2023-06-03 23:26:26 | Epoch [39/50] | Batch 405/509 | d_loss: 0.3725 | g_loss: 5.6306 2023-06-03 23:26:28 | Epoch [39/50] | Batch 410/509 | d_loss: 0.3672 | g_loss: 3.6861 2023-06-03 23:26:30 | Epoch [39/50] | Batch 415/509 | d_loss: 0.4093 | g_loss: 3.6109 2023-06-03 23:26:31 | Epoch [39/50] | Batch 420/509 | d_loss: 0.3560 | g_loss: 5.4525 2023-06-03 23:26:33 | Epoch [39/50] | Batch 425/509 | d_loss: 0.3717 | g_loss: 4.1898 2023-06-03 23:26:35 | Epoch [39/50] | Batch 430/509 | d_loss: 0.3806 | g_loss: 3.8167 2023-06-03 23:26:36 | Epoch [39/50] | Batch 435/509 | d_loss: 0.5450 | g_loss: 2.0882 2023-06-03 23:26:38 | Epoch [39/50] | Batch 440/509 | d_loss: 0.3481 | g_loss: 5.7877 2023-06-03 23:26:40 | Epoch [39/50] | Batch 445/509 | d_loss: 0.4018 | g_loss: 3.2602 2023-06-03 23:26:41 | Epoch [39/50] | Batch 450/509 | d_loss: 0.5203 | g_loss: 4.1250 2023-06-03 23:26:43 | Epoch [39/50] | Batch 455/509 | d_loss: 0.3754 | g_loss: 4.9456 2023-06-03 23:26:44 | Epoch [39/50] | Batch 460/509 | d_loss: 0.3942 | g_loss: 3.6921 2023-06-03 23:26:46 | Epoch [39/50] | Batch 465/509 | d_loss: 0.5988 | g_loss: 5.0579 2023-06-03 23:26:48 | Epoch [39/50] | Batch 470/509 | d_loss: 0.3701 | g_loss: 2.9960 2023-06-03 23:26:49 | Epoch [39/50] | Batch 475/509 | d_loss: 0.3870 | g_loss: 4.1936 2023-06-03 23:26:51 | Epoch [39/50] | Batch 480/509 | d_loss: 0.4134 | g_loss: 5.3782 2023-06-03 23:26:53 | Epoch [39/50] | Batch 485/509 | d_loss: 0.3571 | g_loss: 4.2540 2023-06-03 23:26:54 | Epoch [39/50] | Batch 490/509 | d_loss: 0.3616 | g_loss: 3.8349 2023-06-03 23:26:56 | Epoch [39/50] | Batch 495/509 | d_loss: 0.4103 | g_loss: 5.5917 2023-06-03 23:26:58 | Epoch [39/50] | Batch 500/509 | d_loss: 0.3508 | g_loss: 6.7435 2023-06-03 23:26:59 | Epoch [39/50] | Batch 505/509 | d_loss: 0.3684 | g_loss: 4.6014
2023-06-03 23:27:02 | Epoch [40/50] | Batch 0/509 | d_loss: 0.3843 | g_loss: 4.2177 2023-06-03 23:27:03 | Epoch [40/50] | Batch 5/509 | d_loss: 0.5504 | g_loss: 1.8039 2023-06-03 23:27:05 | Epoch [40/50] | Batch 10/509 | d_loss: 0.3833 | g_loss: 4.9078 2023-06-03 23:27:07 | Epoch [40/50] | Batch 15/509 | d_loss: 0.3774 | g_loss: 4.8035 2023-06-03 23:27:08 | Epoch [40/50] | Batch 20/509 | d_loss: 0.3693 | g_loss: 4.3704 2023-06-03 23:27:10 | Epoch [40/50] | Batch 25/509 | d_loss: 0.3546 | g_loss: 5.1248 2023-06-03 23:27:12 | Epoch [40/50] | Batch 30/509 | d_loss: 0.4257 | g_loss: 5.2577 2023-06-03 23:27:13 | Epoch [40/50] | Batch 35/509 | d_loss: 0.3523 | g_loss: 5.2600 2023-06-03 23:27:15 | Epoch [40/50] | Batch 40/509 | d_loss: 0.3633 | g_loss: 4.3446 2023-06-03 23:27:17 | Epoch [40/50] | Batch 45/509 | d_loss: 0.3449 | g_loss: 7.2098 2023-06-03 23:27:18 | Epoch [40/50] | Batch 50/509 | d_loss: 0.3590 | g_loss: 5.1330 2023-06-03 23:27:20 | Epoch [40/50] | Batch 55/509 | d_loss: 0.3735 | g_loss: 6.8746 2023-06-03 23:27:21 | Epoch [40/50] | Batch 60/509 | d_loss: 0.3683 | g_loss: 5.2087 2023-06-03 23:27:23 | Epoch [40/50] | Batch 65/509 | d_loss: 0.6040 | g_loss: 5.7838 2023-06-03 23:27:25 | Epoch [40/50] | Batch 70/509 | d_loss: 0.3613 | g_loss: 4.9038 2023-06-03 23:27:26 | Epoch [40/50] | Batch 75/509 | d_loss: 0.3532 | g_loss: 4.3813 2023-06-03 23:27:28 | Epoch [40/50] | Batch 80/509 | d_loss: 0.3721 | g_loss: 4.1251 2023-06-03 23:27:30 | Epoch [40/50] | Batch 85/509 | d_loss: 0.4407 | g_loss: 2.4298 2023-06-03 23:27:31 | Epoch [40/50] | Batch 90/509 | d_loss: 0.3877 | g_loss: 5.8736 2023-06-03 23:27:33 | Epoch [40/50] | Batch 95/509 | d_loss: 0.3451 | g_loss: 5.8075 2023-06-03 23:27:35 | Epoch [40/50] | Batch 100/509 | d_loss: 0.4101 | g_loss: 5.2997 2023-06-03 23:27:36 | Epoch [40/50] | Batch 105/509 | d_loss: 0.3500 | g_loss: 5.2513 2023-06-03 23:27:38 | Epoch [40/50] | Batch 110/509 | d_loss: 0.3995 | g_loss: 4.6278 2023-06-03 23:27:39 | Epoch [40/50] | Batch 115/509 | d_loss: 1.5015 | g_loss: 10.1505 2023-06-03 23:27:41 | Epoch [40/50] | Batch 120/509 | d_loss: 0.5671 | g_loss: 3.6584 2023-06-03 23:27:43 | Epoch [40/50] | Batch 125/509 | d_loss: 0.8422 | g_loss: 1.2785 2023-06-03 23:27:44 | Epoch [40/50] | Batch 130/509 | d_loss: 0.4975 | g_loss: 5.5732 2023-06-03 23:27:46 | Epoch [40/50] | Batch 135/509 | d_loss: 0.4962 | g_loss: 3.2377 2023-06-03 23:27:48 | Epoch [40/50] | Batch 140/509 | d_loss: 0.5004 | g_loss: 2.8180 2023-06-03 23:27:49 | Epoch [40/50] | Batch 145/509 | d_loss: 0.5143 | g_loss: 3.2043 2023-06-03 23:27:51 | Epoch [40/50] | Batch 150/509 | d_loss: 0.4502 | g_loss: 3.4682 2023-06-03 23:27:53 | Epoch [40/50] | Batch 155/509 | d_loss: 0.4642 | g_loss: 3.4234 2023-06-03 23:27:54 | Epoch [40/50] | Batch 160/509 | d_loss: 0.3921 | g_loss: 4.3561 2023-06-03 23:27:56 | Epoch [40/50] | Batch 165/509 | d_loss: 0.3864 | g_loss: 3.7066 2023-06-03 23:27:57 | Epoch [40/50] | Batch 170/509 | d_loss: 0.3689 | g_loss: 3.8295 2023-06-03 23:27:59 | Epoch [40/50] | Batch 175/509 | d_loss: 0.4167 | g_loss: 4.2452 2023-06-03 23:28:01 | Epoch [40/50] | Batch 180/509 | d_loss: 0.3887 | g_loss: 4.4176 2023-06-03 23:28:02 | Epoch [40/50] | Batch 185/509 | d_loss: 0.3928 | g_loss: 4.0967 2023-06-03 23:28:04 | Epoch [40/50] | Batch 190/509 | d_loss: 0.7011 | g_loss: 5.7334 2023-06-03 23:28:06 | Epoch [40/50] | Batch 195/509 | d_loss: 0.7807 | g_loss: 4.8462 2023-06-03 23:28:07 | Epoch [40/50] | Batch 200/509 | d_loss: 0.5866 | g_loss: 2.2414 2023-06-03 23:28:09 | Epoch [40/50] | Batch 205/509 | d_loss: 0.5897 | g_loss: 3.9938 2023-06-03 23:28:11 | Epoch [40/50] | Batch 210/509 | d_loss: 0.4543 | g_loss: 3.6378 2023-06-03 23:28:12 | Epoch [40/50] | Batch 215/509 | d_loss: 0.5099 | g_loss: 3.8670 2023-06-03 23:28:14 | Epoch [40/50] | Batch 220/509 | d_loss: 0.7160 | g_loss: 4.6587 2023-06-03 23:28:15 | Epoch [40/50] | Batch 225/509 | d_loss: 0.4560 | g_loss: 4.4622 2023-06-03 23:28:17 | Epoch [40/50] | Batch 230/509 | d_loss: 0.6148 | g_loss: 2.5498 2023-06-03 23:28:19 | Epoch [40/50] | Batch 235/509 | d_loss: 0.3934 | g_loss: 4.2444 2023-06-03 23:28:20 | Epoch [40/50] | Batch 240/509 | d_loss: 0.4422 | g_loss: 4.1140 2023-06-03 23:28:22 | Epoch [40/50] | Batch 245/509 | d_loss: 0.5150 | g_loss: 4.0010 2023-06-03 23:28:24 | Epoch [40/50] | Batch 250/509 | d_loss: 0.4578 | g_loss: 3.9242 2023-06-03 23:28:25 | Epoch [40/50] | Batch 255/509 | d_loss: 0.4833 | g_loss: 3.0952 2023-06-03 23:28:27 | Epoch [40/50] | Batch 260/509 | d_loss: 0.3944 | g_loss: 4.6943 2023-06-03 23:28:29 | Epoch [40/50] | Batch 265/509 | d_loss: 0.4143 | g_loss: 4.4929 2023-06-03 23:28:30 | Epoch [40/50] | Batch 270/509 | d_loss: 0.3729 | g_loss: 4.1851 2023-06-03 23:28:32 | Epoch [40/50] | Batch 275/509 | d_loss: 0.3839 | g_loss: 3.6341 2023-06-03 23:28:34 | Epoch [40/50] | Batch 280/509 | d_loss: 0.3802 | g_loss: 3.8767 2023-06-03 23:28:35 | Epoch [40/50] | Batch 285/509 | d_loss: 0.4132 | g_loss: 3.7700 2023-06-03 23:28:37 | Epoch [40/50] | Batch 290/509 | d_loss: 0.3619 | g_loss: 3.8367 2023-06-03 23:28:38 | Epoch [40/50] | Batch 295/509 | d_loss: 0.4205 | g_loss: 5.6455 2023-06-03 23:28:40 | Epoch [40/50] | Batch 300/509 | d_loss: 0.3648 | g_loss: 4.4872 2023-06-03 23:28:42 | Epoch [40/50] | Batch 305/509 | d_loss: 0.3732 | g_loss: 4.7690 2023-06-03 23:28:43 | Epoch [40/50] | Batch 310/509 | d_loss: 0.5398 | g_loss: 3.7654 2023-06-03 23:28:45 | Epoch [40/50] | Batch 315/509 | d_loss: 0.4644 | g_loss: 3.4805 2023-06-03 23:28:47 | Epoch [40/50] | Batch 320/509 | d_loss: 0.3787 | g_loss: 4.7124 2023-06-03 23:28:48 | Epoch [40/50] | Batch 325/509 | d_loss: 0.3804 | g_loss: 4.2538 2023-06-03 23:28:50 | Epoch [40/50] | Batch 330/509 | d_loss: 0.3774 | g_loss: 5.0684 2023-06-03 23:28:52 | Epoch [40/50] | Batch 335/509 | d_loss: 0.3617 | g_loss: 4.6155 2023-06-03 23:28:53 | Epoch [40/50] | Batch 340/509 | d_loss: 0.3650 | g_loss: 4.1786 2023-06-03 23:28:55 | Epoch [40/50] | Batch 345/509 | d_loss: 0.4809 | g_loss: 5.0650 2023-06-03 23:28:56 | Epoch [40/50] | Batch 350/509 | d_loss: 0.4453 | g_loss: 4.1660 2023-06-03 23:28:58 | Epoch [40/50] | Batch 355/509 | d_loss: 0.4857 | g_loss: 4.5540 2023-06-03 23:29:00 | Epoch [40/50] | Batch 360/509 | d_loss: 0.3615 | g_loss: 5.5718 2023-06-03 23:29:01 | Epoch [40/50] | Batch 365/509 | d_loss: 0.3962 | g_loss: 3.6385 2023-06-03 23:29:03 | Epoch [40/50] | Batch 370/509 | d_loss: 0.3985 | g_loss: 3.5736 2023-06-03 23:29:05 | Epoch [40/50] | Batch 375/509 | d_loss: 0.3861 | g_loss: 4.7360 2023-06-03 23:29:06 | Epoch [40/50] | Batch 380/509 | d_loss: 0.4610 | g_loss: 2.6105 2023-06-03 23:29:08 | Epoch [40/50] | Batch 385/509 | d_loss: 0.6074 | g_loss: 5.5765 2023-06-03 23:29:10 | Epoch [40/50] | Batch 390/509 | d_loss: 0.4298 | g_loss: 3.3299 2023-06-03 23:29:11 | Epoch [40/50] | Batch 395/509 | d_loss: 0.4089 | g_loss: 3.7523 2023-06-03 23:29:13 | Epoch [40/50] | Batch 400/509 | d_loss: 0.5441 | g_loss: 3.9302 2023-06-03 23:29:15 | Epoch [40/50] | Batch 405/509 | d_loss: 0.4010 | g_loss: 4.9649 2023-06-03 23:29:16 | Epoch [40/50] | Batch 410/509 | d_loss: 0.4375 | g_loss: 5.4565 2023-06-03 23:29:18 | Epoch [40/50] | Batch 415/509 | d_loss: 0.3783 | g_loss: 5.0329 2023-06-03 23:29:19 | Epoch [40/50] | Batch 420/509 | d_loss: 0.3953 | g_loss: 3.4068 2023-06-03 23:29:21 | Epoch [40/50] | Batch 425/509 | d_loss: 0.3749 | g_loss: 3.8711 2023-06-03 23:29:23 | Epoch [40/50] | Batch 430/509 | d_loss: 0.3848 | g_loss: 4.8510 2023-06-03 23:29:24 | Epoch [40/50] | Batch 435/509 | d_loss: 0.4452 | g_loss: 4.4260 2023-06-03 23:29:26 | Epoch [40/50] | Batch 440/509 | d_loss: 0.3761 | g_loss: 3.3383 2023-06-03 23:29:28 | Epoch [40/50] | Batch 445/509 | d_loss: 0.4529 | g_loss: 5.1920 2023-06-03 23:29:29 | Epoch [40/50] | Batch 450/509 | d_loss: 0.5091 | g_loss: 3.6381 2023-06-03 23:29:31 | Epoch [40/50] | Batch 455/509 | d_loss: 0.7331 | g_loss: 1.6984 2023-06-03 23:29:33 | Epoch [40/50] | Batch 460/509 | d_loss: 0.4002 | g_loss: 4.7707 2023-06-03 23:29:34 | Epoch [40/50] | Batch 465/509 | d_loss: 0.4310 | g_loss: 3.4002 2023-06-03 23:29:36 | Epoch [40/50] | Batch 470/509 | d_loss: 0.7749 | g_loss: 5.0983 2023-06-03 23:29:37 | Epoch [40/50] | Batch 475/509 | d_loss: 0.4377 | g_loss: 4.7107 2023-06-03 23:29:39 | Epoch [40/50] | Batch 480/509 | d_loss: 0.4627 | g_loss: 3.9552 2023-06-03 23:29:41 | Epoch [40/50] | Batch 485/509 | d_loss: 0.3940 | g_loss: 3.6838 2023-06-03 23:29:42 | Epoch [40/50] | Batch 490/509 | d_loss: 0.3804 | g_loss: 3.6221 2023-06-03 23:29:44 | Epoch [40/50] | Batch 495/509 | d_loss: 0.4707 | g_loss: 3.5301 2023-06-03 23:29:46 | Epoch [40/50] | Batch 500/509 | d_loss: 0.3699 | g_loss: 2.7898 2023-06-03 23:29:47 | Epoch [40/50] | Batch 505/509 | d_loss: 0.3924 | g_loss: 4.0648
2023-06-03 23:29:50 | Epoch [41/50] | Batch 0/509 | d_loss: 0.4483 | g_loss: 3.9407 2023-06-03 23:29:51 | Epoch [41/50] | Batch 5/509 | d_loss: 0.3759 | g_loss: 4.5380 2023-06-03 23:29:53 | Epoch [41/50] | Batch 10/509 | d_loss: 0.3826 | g_loss: 4.3044 2023-06-03 23:29:55 | Epoch [41/50] | Batch 15/509 | d_loss: 0.4032 | g_loss: 4.4596 2023-06-03 23:29:56 | Epoch [41/50] | Batch 20/509 | d_loss: 0.3762 | g_loss: 3.6742 2023-06-03 23:29:58 | Epoch [41/50] | Batch 25/509 | d_loss: 0.3746 | g_loss: 3.4584 2023-06-03 23:30:00 | Epoch [41/50] | Batch 30/509 | d_loss: 0.3893 | g_loss: 4.2863 2023-06-03 23:30:01 | Epoch [41/50] | Batch 35/509 | d_loss: 0.3783 | g_loss: 5.2676 2023-06-03 23:30:03 | Epoch [41/50] | Batch 40/509 | d_loss: 0.4735 | g_loss: 3.5263 2023-06-03 23:30:04 | Epoch [41/50] | Batch 45/509 | d_loss: 0.4442 | g_loss: 3.5233 2023-06-03 23:30:06 | Epoch [41/50] | Batch 50/509 | d_loss: 0.4391 | g_loss: 3.9337 2023-06-03 23:30:08 | Epoch [41/50] | Batch 55/509 | d_loss: 0.3641 | g_loss: 4.9258 2023-06-03 23:30:09 | Epoch [41/50] | Batch 60/509 | d_loss: 0.3864 | g_loss: 4.0636 2023-06-03 23:30:11 | Epoch [41/50] | Batch 65/509 | d_loss: 0.4335 | g_loss: 5.7340 2023-06-03 23:30:13 | Epoch [41/50] | Batch 70/509 | d_loss: 0.3837 | g_loss: 4.2346 2023-06-03 23:30:14 | Epoch [41/50] | Batch 75/509 | d_loss: 0.3549 | g_loss: 5.1068 2023-06-03 23:30:16 | Epoch [41/50] | Batch 80/509 | d_loss: 0.3941 | g_loss: 4.6646 2023-06-03 23:30:18 | Epoch [41/50] | Batch 85/509 | d_loss: 0.3725 | g_loss: 4.4360 2023-06-03 23:30:19 | Epoch [41/50] | Batch 90/509 | d_loss: 0.3818 | g_loss: 4.2816 2023-06-03 23:30:21 | Epoch [41/50] | Batch 95/509 | d_loss: 1.6781 | g_loss: 1.4719 2023-06-03 23:30:22 | Epoch [41/50] | Batch 100/509 | d_loss: 0.5882 | g_loss: 4.8576 2023-06-03 23:30:24 | Epoch [41/50] | Batch 105/509 | d_loss: 0.4349 | g_loss: 3.0663 2023-06-03 23:30:26 | Epoch [41/50] | Batch 110/509 | d_loss: 0.4984 | g_loss: 2.3289 2023-06-03 23:30:27 | Epoch [41/50] | Batch 115/509 | d_loss: 0.3618 | g_loss: 5.1139 2023-06-03 23:30:29 | Epoch [41/50] | Batch 120/509 | d_loss: 0.5114 | g_loss: 3.6903 2023-06-03 23:30:31 | Epoch [41/50] | Batch 125/509 | d_loss: 1.4549 | g_loss: 1.2718 2023-06-03 23:30:32 | Epoch [41/50] | Batch 130/509 | d_loss: 0.4877 | g_loss: 3.8388 2023-06-03 23:30:34 | Epoch [41/50] | Batch 135/509 | d_loss: 0.3987 | g_loss: 3.9147 2023-06-03 23:30:36 | Epoch [41/50] | Batch 140/509 | d_loss: 0.4869 | g_loss: 3.5921 2023-06-03 23:30:37 | Epoch [41/50] | Batch 145/509 | d_loss: 0.4747 | g_loss: 3.3460 2023-06-03 23:30:39 | Epoch [41/50] | Batch 150/509 | d_loss: 0.4817 | g_loss: 2.9335 2023-06-03 23:30:40 | Epoch [41/50] | Batch 155/509 | d_loss: 0.5221 | g_loss: 2.9889 2023-06-03 23:30:42 | Epoch [41/50] | Batch 160/509 | d_loss: 0.4029 | g_loss: 3.9192 2023-06-03 23:30:44 | Epoch [41/50] | Batch 165/509 | d_loss: 0.3705 | g_loss: 5.0853 2023-06-03 23:30:45 | Epoch [41/50] | Batch 170/509 | d_loss: 0.4095 | g_loss: 3.7166 2023-06-03 23:30:47 | Epoch [41/50] | Batch 175/509 | d_loss: 0.4110 | g_loss: 3.6032 2023-06-03 23:30:49 | Epoch [41/50] | Batch 180/509 | d_loss: 0.4444 | g_loss: 4.5368 2023-06-03 23:30:50 | Epoch [41/50] | Batch 185/509 | d_loss: 0.4221 | g_loss: 2.7078 2023-06-03 23:30:52 | Epoch [41/50] | Batch 190/509 | d_loss: 0.4344 | g_loss: 3.1528 2023-06-03 23:30:54 | Epoch [41/50] | Batch 195/509 | d_loss: 0.5239 | g_loss: 4.8075 2023-06-03 23:30:55 | Epoch [41/50] | Batch 200/509 | d_loss: 0.3778 | g_loss: 4.2165 2023-06-03 23:30:57 | Epoch [41/50] | Batch 205/509 | d_loss: 0.4019 | g_loss: 5.2573 2023-06-03 23:30:58 | Epoch [41/50] | Batch 210/509 | d_loss: 0.3700 | g_loss: 4.6629 2023-06-03 23:31:00 | Epoch [41/50] | Batch 215/509 | d_loss: 0.3769 | g_loss: 4.6765 2023-06-03 23:31:02 | Epoch [41/50] | Batch 220/509 | d_loss: 0.4083 | g_loss: 3.4731 2023-06-03 23:31:03 | Epoch [41/50] | Batch 225/509 | d_loss: 0.3870 | g_loss: 5.0757 2023-06-03 23:31:05 | Epoch [41/50] | Batch 230/509 | d_loss: 0.4431 | g_loss: 3.4408 2023-06-03 23:31:07 | Epoch [41/50] | Batch 235/509 | d_loss: 0.3476 | g_loss: 4.8592 2023-06-03 23:31:08 | Epoch [41/50] | Batch 240/509 | d_loss: 0.3518 | g_loss: 5.9754 2023-06-03 23:31:10 | Epoch [41/50] | Batch 245/509 | d_loss: 0.4121 | g_loss: 3.1938 2023-06-03 23:31:12 | Epoch [41/50] | Batch 250/509 | d_loss: 0.5017 | g_loss: 3.9834 2023-06-03 23:31:13 | Epoch [41/50] | Batch 255/509 | d_loss: 0.4152 | g_loss: 4.7790 2023-06-03 23:31:15 | Epoch [41/50] | Batch 260/509 | d_loss: 0.3887 | g_loss: 3.7001 2023-06-03 23:31:16 | Epoch [41/50] | Batch 265/509 | d_loss: 0.3785 | g_loss: 4.2937 2023-06-03 23:31:18 | Epoch [41/50] | Batch 270/509 | d_loss: 0.4135 | g_loss: 3.8801 2023-06-03 23:31:20 | Epoch [41/50] | Batch 275/509 | d_loss: 0.3762 | g_loss: 3.7182 2023-06-03 23:31:21 | Epoch [41/50] | Batch 280/509 | d_loss: 0.5222 | g_loss: 6.7353 2023-06-03 23:31:23 | Epoch [41/50] | Batch 285/509 | d_loss: 0.3711 | g_loss: 4.8193 2023-06-03 23:31:25 | Epoch [41/50] | Batch 290/509 | d_loss: 0.3793 | g_loss: 5.0067 2023-06-03 23:31:26 | Epoch [41/50] | Batch 295/509 | d_loss: 0.4851 | g_loss: 3.5610 2023-06-03 23:31:28 | Epoch [41/50] | Batch 300/509 | d_loss: 0.5944 | g_loss: 4.4975 2023-06-03 23:31:30 | Epoch [41/50] | Batch 305/509 | d_loss: 0.4982 | g_loss: 3.3918 2023-06-03 23:31:31 | Epoch [41/50] | Batch 310/509 | d_loss: 0.4168 | g_loss: 3.9810 2023-06-03 23:31:33 | Epoch [41/50] | Batch 315/509 | d_loss: 0.3998 | g_loss: 4.7905 2023-06-03 23:31:34 | Epoch [41/50] | Batch 320/509 | d_loss: 0.4821 | g_loss: 4.4473 2023-06-03 23:31:36 | Epoch [41/50] | Batch 325/509 | d_loss: 0.4247 | g_loss: 4.5448 2023-06-03 23:31:38 | Epoch [41/50] | Batch 330/509 | d_loss: 0.3616 | g_loss: 3.6001 2023-06-03 23:31:39 | Epoch [41/50] | Batch 335/509 | d_loss: 0.4166 | g_loss: 4.1024 2023-06-03 23:31:41 | Epoch [41/50] | Batch 340/509 | d_loss: 0.3632 | g_loss: 4.5836 2023-06-03 23:31:43 | Epoch [41/50] | Batch 345/509 | d_loss: 0.4857 | g_loss: 4.6220 2023-06-03 23:31:44 | Epoch [41/50] | Batch 350/509 | d_loss: 0.4731 | g_loss: 4.2841 2023-06-03 23:31:46 | Epoch [41/50] | Batch 355/509 | d_loss: 0.3835 | g_loss: 4.1615 2023-06-03 23:31:48 | Epoch [41/50] | Batch 360/509 | d_loss: 0.3598 | g_loss: 4.7514 2023-06-03 23:31:49 | Epoch [41/50] | Batch 365/509 | d_loss: 0.3986 | g_loss: 4.0803 2023-06-03 23:31:51 | Epoch [41/50] | Batch 370/509 | d_loss: 0.3400 | g_loss: 5.8746 2023-06-03 23:31:52 | Epoch [41/50] | Batch 375/509 | d_loss: 0.3815 | g_loss: 4.3499 2023-06-03 23:31:54 | Epoch [41/50] | Batch 380/509 | d_loss: 0.4018 | g_loss: 4.5553 2023-06-03 23:31:56 | Epoch [41/50] | Batch 385/509 | d_loss: 0.3926 | g_loss: 3.1261 2023-06-03 23:31:57 | Epoch [41/50] | Batch 390/509 | d_loss: 0.3812 | g_loss: 4.5848 2023-06-03 23:31:59 | Epoch [41/50] | Batch 395/509 | d_loss: 0.3747 | g_loss: 3.8216 2023-06-03 23:32:01 | Epoch [41/50] | Batch 400/509 | d_loss: 0.3607 | g_loss: 6.3243 2023-06-03 23:32:02 | Epoch [41/50] | Batch 405/509 | d_loss: 0.4063 | g_loss: 3.6770 2023-06-03 23:32:04 | Epoch [41/50] | Batch 410/509 | d_loss: 0.3599 | g_loss: 5.9315 2023-06-03 23:32:06 | Epoch [41/50] | Batch 415/509 | d_loss: 0.3740 | g_loss: 4.7004 2023-06-03 23:32:07 | Epoch [41/50] | Batch 420/509 | d_loss: 0.8827 | g_loss: 1.4704 2023-06-03 23:32:09 | Epoch [41/50] | Batch 425/509 | d_loss: 0.5395 | g_loss: 5.2806 2023-06-03 23:32:10 | Epoch [41/50] | Batch 430/509 | d_loss: 0.5162 | g_loss: 2.7327 2023-06-03 23:32:12 | Epoch [41/50] | Batch 435/509 | d_loss: 0.4140 | g_loss: 3.4382 2023-06-03 23:32:14 | Epoch [41/50] | Batch 440/509 | d_loss: 0.3854 | g_loss: 3.5976 2023-06-03 23:32:15 | Epoch [41/50] | Batch 445/509 | d_loss: 0.3583 | g_loss: 4.4677 2023-06-03 23:32:17 | Epoch [41/50] | Batch 450/509 | d_loss: 0.3642 | g_loss: 4.7096 2023-06-03 23:32:19 | Epoch [41/50] | Batch 455/509 | d_loss: 0.4000 | g_loss: 4.3986 2023-06-03 23:32:20 | Epoch [41/50] | Batch 460/509 | d_loss: 0.3543 | g_loss: 5.6238 2023-06-03 23:32:22 | Epoch [41/50] | Batch 465/509 | d_loss: 0.3735 | g_loss: 3.9500 2023-06-03 23:32:24 | Epoch [41/50] | Batch 470/509 | d_loss: 0.5210 | g_loss: 2.6169 2023-06-03 23:32:25 | Epoch [41/50] | Batch 475/509 | d_loss: 0.3899 | g_loss: 4.6386 2023-06-03 23:32:27 | Epoch [41/50] | Batch 480/509 | d_loss: 0.4137 | g_loss: 3.2955 2023-06-03 23:32:28 | Epoch [41/50] | Batch 485/509 | d_loss: 0.3680 | g_loss: 4.3541 2023-06-03 23:32:30 | Epoch [41/50] | Batch 490/509 | d_loss: 0.3889 | g_loss: 4.6214 2023-06-03 23:32:32 | Epoch [41/50] | Batch 495/509 | d_loss: 0.3766 | g_loss: 4.5920 2023-06-03 23:32:33 | Epoch [41/50] | Batch 500/509 | d_loss: 0.3638 | g_loss: 6.1315 2023-06-03 23:32:35 | Epoch [41/50] | Batch 505/509 | d_loss: 0.4214 | g_loss: 5.2596
2023-06-03 23:32:38 | Epoch [42/50] | Batch 0/509 | d_loss: 0.3950 | g_loss: 5.5752 2023-06-03 23:32:39 | Epoch [42/50] | Batch 5/509 | d_loss: 0.3574 | g_loss: 5.8729 2023-06-03 23:32:41 | Epoch [42/50] | Batch 10/509 | d_loss: 0.3931 | g_loss: 3.7210 2023-06-03 23:32:43 | Epoch [42/50] | Batch 15/509 | d_loss: 0.3668 | g_loss: 6.4606 2023-06-03 23:32:44 | Epoch [42/50] | Batch 20/509 | d_loss: 0.4092 | g_loss: 4.7613 2023-06-03 23:32:46 | Epoch [42/50] | Batch 25/509 | d_loss: 0.3460 | g_loss: 4.6288 2023-06-03 23:32:47 | Epoch [42/50] | Batch 30/509 | d_loss: 0.3954 | g_loss: 5.3564 2023-06-03 23:32:49 | Epoch [42/50] | Batch 35/509 | d_loss: 0.3497 | g_loss: 5.4283 2023-06-03 23:32:51 | Epoch [42/50] | Batch 40/509 | d_loss: 0.3513 | g_loss: 5.3911 2023-06-03 23:32:52 | Epoch [42/50] | Batch 45/509 | d_loss: 0.3815 | g_loss: 4.4362 2023-06-03 23:32:54 | Epoch [42/50] | Batch 50/509 | d_loss: 0.3753 | g_loss: 5.1408 2023-06-03 23:32:56 | Epoch [42/50] | Batch 55/509 | d_loss: 0.3800 | g_loss: 3.5950 2023-06-03 23:32:57 | Epoch [42/50] | Batch 60/509 | d_loss: 0.3488 | g_loss: 5.7097 2023-06-03 23:32:59 | Epoch [42/50] | Batch 65/509 | d_loss: 0.4829 | g_loss: 4.7472 2023-06-03 23:33:01 | Epoch [42/50] | Batch 70/509 | d_loss: 3.2907 | g_loss: 0.6520 2023-06-03 23:33:02 | Epoch [42/50] | Batch 75/509 | d_loss: 1.1399 | g_loss: 3.6188 2023-06-03 23:33:04 | Epoch [42/50] | Batch 80/509 | d_loss: 0.8853 | g_loss: 2.7613 2023-06-03 23:33:06 | Epoch [42/50] | Batch 85/509 | d_loss: 0.6727 | g_loss: 2.6850 2023-06-03 23:33:07 | Epoch [42/50] | Batch 90/509 | d_loss: 0.5915 | g_loss: 2.9472 2023-06-03 23:33:09 | Epoch [42/50] | Batch 95/509 | d_loss: 0.5994 | g_loss: 2.1848 2023-06-03 23:33:10 | Epoch [42/50] | Batch 100/509 | d_loss: 0.5895 | g_loss: 3.0624 2023-06-03 23:33:12 | Epoch [42/50] | Batch 105/509 | d_loss: 0.5535 | g_loss: 3.8016 2023-06-03 23:33:14 | Epoch [42/50] | Batch 110/509 | d_loss: 0.7134 | g_loss: 3.3942 2023-06-03 23:33:15 | Epoch [42/50] | Batch 115/509 | d_loss: 0.5447 | g_loss: 2.8603 2023-06-03 23:33:17 | Epoch [42/50] | Batch 120/509 | d_loss: 0.4978 | g_loss: 2.7318 2023-06-03 23:33:19 | Epoch [42/50] | Batch 125/509 | d_loss: 0.4675 | g_loss: 2.8313 2023-06-03 23:33:20 | Epoch [42/50] | Batch 130/509 | d_loss: 0.4668 | g_loss: 2.4847 2023-06-03 23:33:22 | Epoch [42/50] | Batch 135/509 | d_loss: 0.5971 | g_loss: 2.3175 2023-06-03 23:33:24 | Epoch [42/50] | Batch 140/509 | d_loss: 0.3823 | g_loss: 4.3372 2023-06-03 23:33:25 | Epoch [42/50] | Batch 145/509 | d_loss: 0.6964 | g_loss: 4.1606 2023-06-03 23:33:27 | Epoch [42/50] | Batch 150/509 | d_loss: 0.4356 | g_loss: 4.1629 2023-06-03 23:33:28 | Epoch [42/50] | Batch 155/509 | d_loss: 0.4501 | g_loss: 3.1819 2023-06-03 23:33:30 | Epoch [42/50] | Batch 160/509 | d_loss: 0.6072 | g_loss: 4.3835 2023-06-03 23:33:32 | Epoch [42/50] | Batch 165/509 | d_loss: 0.4088 | g_loss: 3.8821 2023-06-03 23:33:33 | Epoch [42/50] | Batch 170/509 | d_loss: 0.5454 | g_loss: 3.9305 2023-06-03 23:33:35 | Epoch [42/50] | Batch 175/509 | d_loss: 0.8426 | g_loss: 4.6373 2023-06-03 23:33:37 | Epoch [42/50] | Batch 180/509 | d_loss: 0.4282 | g_loss: 4.0040 2023-06-03 23:33:38 | Epoch [42/50] | Batch 185/509 | d_loss: 0.3965 | g_loss: 3.9822 2023-06-03 23:33:40 | Epoch [42/50] | Batch 190/509 | d_loss: 0.4432 | g_loss: 3.8604 2023-06-03 23:33:42 | Epoch [42/50] | Batch 195/509 | d_loss: 0.4731 | g_loss: 3.6273 2023-06-03 23:33:43 | Epoch [42/50] | Batch 200/509 | d_loss: 0.3851 | g_loss: 5.6158 2023-06-03 23:33:45 | Epoch [42/50] | Batch 205/509 | d_loss: 0.3809 | g_loss: 3.3362 2023-06-03 23:33:47 | Epoch [42/50] | Batch 210/509 | d_loss: 0.4480 | g_loss: 3.5828 2023-06-03 23:33:48 | Epoch [42/50] | Batch 215/509 | d_loss: 0.3736 | g_loss: 4.0487 2023-06-03 23:33:50 | Epoch [42/50] | Batch 220/509 | d_loss: 0.3857 | g_loss: 5.7829 2023-06-03 23:33:51 | Epoch [42/50] | Batch 225/509 | d_loss: 0.4690 | g_loss: 3.6960 2023-06-03 23:33:53 | Epoch [42/50] | Batch 230/509 | d_loss: 0.4326 | g_loss: 3.0919 2023-06-03 23:33:55 | Epoch [42/50] | Batch 235/509 | d_loss: 0.3892 | g_loss: 4.5447 2023-06-03 23:33:56 | Epoch [42/50] | Batch 240/509 | d_loss: 0.3791 | g_loss: 5.1614 2023-06-03 23:33:58 | Epoch [42/50] | Batch 245/509 | d_loss: 0.4037 | g_loss: 4.1322 2023-06-03 23:34:00 | Epoch [42/50] | Batch 250/509 | d_loss: 0.4020 | g_loss: 4.0695 2023-06-03 23:34:01 | Epoch [42/50] | Batch 255/509 | d_loss: 0.5155 | g_loss: 4.8015 2023-06-03 23:34:03 | Epoch [42/50] | Batch 260/509 | d_loss: 0.3727 | g_loss: 4.5566 2023-06-03 23:34:05 | Epoch [42/50] | Batch 265/509 | d_loss: 0.4467 | g_loss: 3.9349 2023-06-03 23:34:06 | Epoch [42/50] | Batch 270/509 | d_loss: 0.4041 | g_loss: 4.3356 2023-06-03 23:34:08 | Epoch [42/50] | Batch 275/509 | d_loss: 0.3956 | g_loss: 4.4599 2023-06-03 23:34:09 | Epoch [42/50] | Batch 280/509 | d_loss: 0.4549 | g_loss: 4.0578 2023-06-03 23:34:11 | Epoch [42/50] | Batch 285/509 | d_loss: 0.3691 | g_loss: 4.1922 2023-06-03 23:34:13 | Epoch [42/50] | Batch 290/509 | d_loss: 0.4401 | g_loss: 4.5944 2023-06-03 23:34:14 | Epoch [42/50] | Batch 295/509 | d_loss: 0.3874 | g_loss: 3.6880 2023-06-03 23:34:16 | Epoch [42/50] | Batch 300/509 | d_loss: 0.3841 | g_loss: 4.2489 2023-06-03 23:34:18 | Epoch [42/50] | Batch 305/509 | d_loss: 0.3926 | g_loss: 3.9860 2023-06-03 23:34:19 | Epoch [42/50] | Batch 310/509 | d_loss: 0.3465 | g_loss: 8.1055 2023-06-03 23:34:21 | Epoch [42/50] | Batch 315/509 | d_loss: 0.4811 | g_loss: 3.2145 2023-06-03 23:34:23 | Epoch [42/50] | Batch 320/509 | d_loss: 0.3896 | g_loss: 3.6063 2023-06-03 23:34:24 | Epoch [42/50] | Batch 325/509 | d_loss: 0.3682 | g_loss: 4.6762 2023-06-03 23:34:26 | Epoch [42/50] | Batch 330/509 | d_loss: 0.3977 | g_loss: 4.0993 2023-06-03 23:34:28 | Epoch [42/50] | Batch 335/509 | d_loss: 0.3633 | g_loss: 3.8639 2023-06-03 23:34:29 | Epoch [42/50] | Batch 340/509 | d_loss: 0.4159 | g_loss: 2.7432 2023-06-03 23:34:31 | Epoch [42/50] | Batch 345/509 | d_loss: 0.5894 | g_loss: 1.9222 2023-06-03 23:34:32 | Epoch [42/50] | Batch 350/509 | d_loss: 0.4985 | g_loss: 4.6246 2023-06-03 23:34:34 | Epoch [42/50] | Batch 355/509 | d_loss: 0.5831 | g_loss: 2.1546 2023-06-03 23:34:36 | Epoch [42/50] | Batch 360/509 | d_loss: 0.4614 | g_loss: 2.6956 2023-06-03 23:34:37 | Epoch [42/50] | Batch 365/509 | d_loss: 0.5213 | g_loss: 4.4123 2023-06-03 23:34:39 | Epoch [42/50] | Batch 370/509 | d_loss: 0.4370 | g_loss: 3.0713 2023-06-03 23:34:41 | Epoch [42/50] | Batch 375/509 | d_loss: 0.3664 | g_loss: 5.3637 2023-06-03 23:34:42 | Epoch [42/50] | Batch 380/509 | d_loss: 0.3630 | g_loss: 4.5017 2023-06-03 23:34:44 | Epoch [42/50] | Batch 385/509 | d_loss: 0.3555 | g_loss: 5.8749 2023-06-03 23:34:46 | Epoch [42/50] | Batch 390/509 | d_loss: 0.3777 | g_loss: 2.9782 2023-06-03 23:34:47 | Epoch [42/50] | Batch 395/509 | d_loss: 0.3809 | g_loss: 3.3420 2023-06-03 23:34:49 | Epoch [42/50] | Batch 400/509 | d_loss: 0.3636 | g_loss: 4.7352 2023-06-03 23:34:50 | Epoch [42/50] | Batch 405/509 | d_loss: 0.4001 | g_loss: 5.6018 2023-06-03 23:34:52 | Epoch [42/50] | Batch 410/509 | d_loss: 0.3583 | g_loss: 4.3255 2023-06-03 23:34:54 | Epoch [42/50] | Batch 415/509 | d_loss: 0.3638 | g_loss: 4.6633 2023-06-03 23:34:55 | Epoch [42/50] | Batch 420/509 | d_loss: 0.5347 | g_loss: 4.4819 2023-06-03 23:34:57 | Epoch [42/50] | Batch 425/509 | d_loss: 0.4002 | g_loss: 4.4674 2023-06-03 23:34:59 | Epoch [42/50] | Batch 430/509 | d_loss: 0.4326 | g_loss: 4.6079 2023-06-03 23:35:00 | Epoch [42/50] | Batch 435/509 | d_loss: 0.3612 | g_loss: 4.4969 2023-06-03 23:35:02 | Epoch [42/50] | Batch 440/509 | d_loss: 0.3725 | g_loss: 3.6932 2023-06-03 23:35:04 | Epoch [42/50] | Batch 445/509 | d_loss: 0.3824 | g_loss: 3.9629 2023-06-03 23:35:05 | Epoch [42/50] | Batch 450/509 | d_loss: 0.3622 | g_loss: 3.8674 2023-06-03 23:35:07 | Epoch [42/50] | Batch 455/509 | d_loss: 0.3626 | g_loss: 5.2040 2023-06-03 23:35:09 | Epoch [42/50] | Batch 460/509 | d_loss: 0.5099 | g_loss: 3.3084 2023-06-03 23:35:10 | Epoch [42/50] | Batch 465/509 | d_loss: 0.3970 | g_loss: 3.5331 2023-06-03 23:35:12 | Epoch [42/50] | Batch 470/509 | d_loss: 0.3699 | g_loss: 5.6698 2023-06-03 23:35:13 | Epoch [42/50] | Batch 475/509 | d_loss: 0.6016 | g_loss: 2.2480 2023-06-03 23:35:15 | Epoch [42/50] | Batch 480/509 | d_loss: 0.4189 | g_loss: 3.3199 2023-06-03 23:35:17 | Epoch [42/50] | Batch 485/509 | d_loss: 0.3892 | g_loss: 4.8322 2023-06-03 23:35:18 | Epoch [42/50] | Batch 490/509 | d_loss: 0.3689 | g_loss: 4.5773 2023-06-03 23:35:20 | Epoch [42/50] | Batch 495/509 | d_loss: 0.3598 | g_loss: 5.0021 2023-06-03 23:35:22 | Epoch [42/50] | Batch 500/509 | d_loss: 0.3782 | g_loss: 5.3298 2023-06-03 23:35:23 | Epoch [42/50] | Batch 505/509 | d_loss: 0.5854 | g_loss: 1.4848
2023-06-03 23:35:26 | Epoch [43/50] | Batch 0/509 | d_loss: 0.3918 | g_loss: 4.6164 2023-06-03 23:35:27 | Epoch [43/50] | Batch 5/509 | d_loss: 0.3980 | g_loss: 4.6681 2023-06-03 23:35:29 | Epoch [43/50] | Batch 10/509 | d_loss: 0.3801 | g_loss: 3.9510 2023-06-03 23:35:31 | Epoch [43/50] | Batch 15/509 | d_loss: 0.4752 | g_loss: 2.9211 2023-06-03 23:35:32 | Epoch [43/50] | Batch 20/509 | d_loss: 0.4225 | g_loss: 3.2362 2023-06-03 23:35:34 | Epoch [43/50] | Batch 25/509 | d_loss: 0.3910 | g_loss: 4.3547 2023-06-03 23:35:36 | Epoch [43/50] | Batch 30/509 | d_loss: 0.3539 | g_loss: 5.2932 2023-06-03 23:35:37 | Epoch [43/50] | Batch 35/509 | d_loss: 0.3720 | g_loss: 5.6015 2023-06-03 23:35:39 | Epoch [43/50] | Batch 40/509 | d_loss: 0.3803 | g_loss: 4.6804 2023-06-03 23:35:40 | Epoch [43/50] | Batch 45/509 | d_loss: 0.6016 | g_loss: 4.1788 2023-06-03 23:35:42 | Epoch [43/50] | Batch 50/509 | d_loss: 1.7314 | g_loss: 6.7904 2023-06-03 23:35:44 | Epoch [43/50] | Batch 55/509 | d_loss: 0.4479 | g_loss: 2.9238 2023-06-03 23:35:45 | Epoch [43/50] | Batch 60/509 | d_loss: 0.5899 | g_loss: 3.4455 2023-06-03 23:35:47 | Epoch [43/50] | Batch 65/509 | d_loss: 0.4767 | g_loss: 3.0943 2023-06-03 23:35:49 | Epoch [43/50] | Batch 70/509 | d_loss: 0.4150 | g_loss: 4.8363 2023-06-03 23:35:50 | Epoch [43/50] | Batch 75/509 | d_loss: 0.4254 | g_loss: 3.5714 2023-06-03 23:35:52 | Epoch [43/50] | Batch 80/509 | d_loss: 0.5558 | g_loss: 2.4832 2023-06-03 23:35:54 | Epoch [43/50] | Batch 85/509 | d_loss: 0.5192 | g_loss: 4.1324 2023-06-03 23:35:55 | Epoch [43/50] | Batch 90/509 | d_loss: 0.5279 | g_loss: 2.1550 2023-06-03 23:35:57 | Epoch [43/50] | Batch 95/509 | d_loss: 0.5361 | g_loss: 3.7422 2023-06-03 23:35:58 | Epoch [43/50] | Batch 100/509 | d_loss: 0.3837 | g_loss: 5.3403 2023-06-03 23:36:00 | Epoch [43/50] | Batch 105/509 | d_loss: 0.4349 | g_loss: 3.8674 2023-06-03 23:36:02 | Epoch [43/50] | Batch 110/509 | d_loss: 1.2644 | g_loss: 2.4801 2023-06-03 23:36:03 | Epoch [43/50] | Batch 115/509 | d_loss: 1.0275 | g_loss: 2.9441 2023-06-03 23:36:05 | Epoch [43/50] | Batch 120/509 | d_loss: 0.4673 | g_loss: 3.6753 2023-06-03 23:36:07 | Epoch [43/50] | Batch 125/509 | d_loss: 0.4064 | g_loss: 3.9458 2023-06-03 23:36:08 | Epoch [43/50] | Batch 130/509 | d_loss: 0.4529 | g_loss: 4.2425 2023-06-03 23:36:10 | Epoch [43/50] | Batch 135/509 | d_loss: 0.5134 | g_loss: 2.2262 2023-06-03 23:36:12 | Epoch [43/50] | Batch 140/509 | d_loss: 0.4359 | g_loss: 5.1402 2023-06-03 23:36:13 | Epoch [43/50] | Batch 145/509 | d_loss: 0.4167 | g_loss: 4.2446 2023-06-03 23:36:15 | Epoch [43/50] | Batch 150/509 | d_loss: 0.3789 | g_loss: 5.0729 2023-06-03 23:36:16 | Epoch [43/50] | Batch 155/509 | d_loss: 0.3757 | g_loss: 4.3554 2023-06-03 23:36:18 | Epoch [43/50] | Batch 160/509 | d_loss: 0.3757 | g_loss: 3.9675 2023-06-03 23:36:20 | Epoch [43/50] | Batch 165/509 | d_loss: 0.4899 | g_loss: 2.6133 2023-06-03 23:36:21 | Epoch [43/50] | Batch 170/509 | d_loss: 0.3796 | g_loss: 3.1448 2023-06-03 23:36:23 | Epoch [43/50] | Batch 175/509 | d_loss: 0.6268 | g_loss: 4.1054 2023-06-03 23:36:25 | Epoch [43/50] | Batch 180/509 | d_loss: 0.4434 | g_loss: 5.6168 2023-06-03 23:36:26 | Epoch [43/50] | Batch 185/509 | d_loss: 0.4655 | g_loss: 3.6234 2023-06-03 23:36:28 | Epoch [43/50] | Batch 190/509 | d_loss: 0.3990 | g_loss: 4.4163 2023-06-03 23:36:30 | Epoch [43/50] | Batch 195/509 | d_loss: 0.4147 | g_loss: 4.4529 2023-06-03 23:36:31 | Epoch [43/50] | Batch 200/509 | d_loss: 0.3649 | g_loss: 5.1749 2023-06-03 23:36:33 | Epoch [43/50] | Batch 205/509 | d_loss: 0.4310 | g_loss: 4.5861 2023-06-03 23:36:34 | Epoch [43/50] | Batch 210/509 | d_loss: 0.3516 | g_loss: 5.7621 2023-06-03 23:36:36 | Epoch [43/50] | Batch 215/509 | d_loss: 0.3542 | g_loss: 5.3569 2023-06-03 23:36:38 | Epoch [43/50] | Batch 220/509 | d_loss: 0.3738 | g_loss: 3.3671 2023-06-03 23:36:39 | Epoch [43/50] | Batch 225/509 | d_loss: 0.3853 | g_loss: 3.9376 2023-06-03 23:36:41 | Epoch [43/50] | Batch 230/509 | d_loss: 0.3841 | g_loss: 4.3802 2023-06-03 23:36:43 | Epoch [43/50] | Batch 235/509 | d_loss: 0.3882 | g_loss: 6.4858 2023-06-03 23:36:44 | Epoch [43/50] | Batch 240/509 | d_loss: 0.3699 | g_loss: 4.5630 2023-06-03 23:36:46 | Epoch [43/50] | Batch 245/509 | d_loss: 0.4505 | g_loss: 3.9439 2023-06-03 23:36:48 | Epoch [43/50] | Batch 250/509 | d_loss: 0.3490 | g_loss: 4.3885 2023-06-03 23:36:49 | Epoch [43/50] | Batch 255/509 | d_loss: 0.3574 | g_loss: 5.1051 2023-06-03 23:36:51 | Epoch [43/50] | Batch 260/509 | d_loss: 0.3617 | g_loss: 6.7115 2023-06-03 23:36:52 | Epoch [43/50] | Batch 265/509 | d_loss: 0.3897 | g_loss: 3.6681 2023-06-03 23:36:54 | Epoch [43/50] | Batch 270/509 | d_loss: 0.4219 | g_loss: 4.2815 2023-06-03 23:36:56 | Epoch [43/50] | Batch 275/509 | d_loss: 0.3684 | g_loss: 3.8806 2023-06-03 23:36:57 | Epoch [43/50] | Batch 280/509 | d_loss: 0.3698 | g_loss: 5.6786 2023-06-03 23:36:59 | Epoch [43/50] | Batch 285/509 | d_loss: 0.6139 | g_loss: 1.8053 2023-06-03 23:37:01 | Epoch [43/50] | Batch 290/509 | d_loss: 0.6377 | g_loss: 1.8491 2023-06-03 23:37:02 | Epoch [43/50] | Batch 295/509 | d_loss: 0.6643 | g_loss: 2.1577 2023-06-03 23:37:04 | Epoch [43/50] | Batch 300/509 | d_loss: 0.3969 | g_loss: 2.6923 2023-06-03 23:37:06 | Epoch [43/50] | Batch 305/509 | d_loss: 0.4907 | g_loss: 3.5265 2023-06-03 23:37:07 | Epoch [43/50] | Batch 310/509 | d_loss: 0.4152 | g_loss: 4.2499 2023-06-03 23:37:09 | Epoch [43/50] | Batch 315/509 | d_loss: 1.1823 | g_loss: 4.1790 2023-06-03 23:37:10 | Epoch [43/50] | Batch 320/509 | d_loss: 0.4819 | g_loss: 3.5174 2023-06-03 23:37:12 | Epoch [43/50] | Batch 325/509 | d_loss: 0.4093 | g_loss: 4.0389 2023-06-03 23:37:14 | Epoch [43/50] | Batch 330/509 | d_loss: 0.4319 | g_loss: 3.8999 2023-06-03 23:37:15 | Epoch [43/50] | Batch 335/509 | d_loss: 0.4058 | g_loss: 2.9095 2023-06-03 23:37:17 | Epoch [43/50] | Batch 340/509 | d_loss: 0.3598 | g_loss: 5.1504 2023-06-03 23:37:19 | Epoch [43/50] | Batch 345/509 | d_loss: 0.4708 | g_loss: 3.3618 2023-06-03 23:37:20 | Epoch [43/50] | Batch 350/509 | d_loss: 0.3683 | g_loss: 3.9113 2023-06-03 23:37:22 | Epoch [43/50] | Batch 355/509 | d_loss: 0.3856 | g_loss: 5.6855 2023-06-03 23:37:24 | Epoch [43/50] | Batch 360/509 | d_loss: 0.4186 | g_loss: 4.6121 2023-06-03 23:37:25 | Epoch [43/50] | Batch 365/509 | d_loss: 0.3721 | g_loss: 4.5458 2023-06-03 23:37:27 | Epoch [43/50] | Batch 370/509 | d_loss: 0.3695 | g_loss: 5.3671 2023-06-03 23:37:28 | Epoch [43/50] | Batch 375/509 | d_loss: 0.4278 | g_loss: 3.9419 2023-06-03 23:37:30 | Epoch [43/50] | Batch 380/509 | d_loss: 0.5806 | g_loss: 4.9540 2023-06-03 23:37:32 | Epoch [43/50] | Batch 385/509 | d_loss: 0.6537 | g_loss: 4.5688 2023-06-03 23:37:33 | Epoch [43/50] | Batch 390/509 | d_loss: 0.3563 | g_loss: 5.6057 2023-06-03 23:37:35 | Epoch [43/50] | Batch 395/509 | d_loss: 0.6398 | g_loss: 3.4984 2023-06-03 23:37:37 | Epoch [43/50] | Batch 400/509 | d_loss: 0.3906 | g_loss: 3.4926 2023-06-03 23:37:38 | Epoch [43/50] | Batch 405/509 | d_loss: 0.4855 | g_loss: 3.6175 2023-06-03 23:37:40 | Epoch [43/50] | Batch 410/509 | d_loss: 0.3815 | g_loss: 5.2577 2023-06-03 23:37:42 | Epoch [43/50] | Batch 415/509 | d_loss: 0.4022 | g_loss: 4.7725 2023-06-03 23:37:43 | Epoch [43/50] | Batch 420/509 | d_loss: 0.3605 | g_loss: 5.4790 2023-06-03 23:37:45 | Epoch [43/50] | Batch 425/509 | d_loss: 0.4138 | g_loss: 3.1092 2023-06-03 23:37:46 | Epoch [43/50] | Batch 430/509 | d_loss: 0.4017 | g_loss: 4.2069 2023-06-03 23:37:48 | Epoch [43/50] | Batch 435/509 | d_loss: 0.3757 | g_loss: 4.5530 2023-06-03 23:37:50 | Epoch [43/50] | Batch 440/509 | d_loss: 0.3790 | g_loss: 4.4887 2023-06-03 23:37:51 | Epoch [43/50] | Batch 445/509 | d_loss: 0.3613 | g_loss: 4.3237 2023-06-03 23:37:53 | Epoch [43/50] | Batch 450/509 | d_loss: 0.4201 | g_loss: 3.7186 2023-06-03 23:37:55 | Epoch [43/50] | Batch 455/509 | d_loss: 0.4291 | g_loss: 4.8433 2023-06-03 23:37:56 | Epoch [43/50] | Batch 460/509 | d_loss: 0.5047 | g_loss: 3.4094 2023-06-03 23:37:58 | Epoch [43/50] | Batch 465/509 | d_loss: 0.3673 | g_loss: 5.3957 2023-06-03 23:38:00 | Epoch [43/50] | Batch 470/509 | d_loss: 0.3724 | g_loss: 4.7465 2023-06-03 23:38:01 | Epoch [43/50] | Batch 475/509 | d_loss: 0.4439 | g_loss: 4.9078 2023-06-03 23:38:03 | Epoch [43/50] | Batch 480/509 | d_loss: 0.4207 | g_loss: 3.7760 2023-06-03 23:38:05 | Epoch [43/50] | Batch 485/509 | d_loss: 0.3670 | g_loss: 5.2190 2023-06-03 23:38:06 | Epoch [43/50] | Batch 490/509 | d_loss: 0.4619 | g_loss: 4.0701 2023-06-03 23:38:08 | Epoch [43/50] | Batch 495/509 | d_loss: 0.4929 | g_loss: 2.6763 2023-06-03 23:38:09 | Epoch [43/50] | Batch 500/509 | d_loss: 0.3894 | g_loss: 5.2893 2023-06-03 23:38:11 | Epoch [43/50] | Batch 505/509 | d_loss: 0.3641 | g_loss: 4.7784
2023-06-03 23:38:14 | Epoch [44/50] | Batch 0/509 | d_loss: 0.3800 | g_loss: 3.9308 2023-06-03 23:38:15 | Epoch [44/50] | Batch 5/509 | d_loss: 0.3606 | g_loss: 4.7340 2023-06-03 23:38:17 | Epoch [44/50] | Batch 10/509 | d_loss: 0.4212 | g_loss: 2.9516 2023-06-03 23:38:19 | Epoch [44/50] | Batch 15/509 | d_loss: 0.4864 | g_loss: 3.6945 2023-06-03 23:38:20 | Epoch [44/50] | Batch 20/509 | d_loss: 0.5098 | g_loss: 3.0842 2023-06-03 23:38:22 | Epoch [44/50] | Batch 25/509 | d_loss: 0.3844 | g_loss: 4.6358 2023-06-03 23:38:23 | Epoch [44/50] | Batch 30/509 | d_loss: 0.3774 | g_loss: 4.1057 2023-06-03 23:38:25 | Epoch [44/50] | Batch 35/509 | d_loss: 0.6378 | g_loss: 1.7368 2023-06-03 23:38:27 | Epoch [44/50] | Batch 40/509 | d_loss: 0.6606 | g_loss: 1.7429 2023-06-03 23:38:28 | Epoch [44/50] | Batch 45/509 | d_loss: 0.3794 | g_loss: 4.2060 2023-06-03 23:38:30 | Epoch [44/50] | Batch 50/509 | d_loss: 0.6331 | g_loss: 3.6833 2023-06-03 23:38:32 | Epoch [44/50] | Batch 55/509 | d_loss: 0.4053 | g_loss: 5.4179 2023-06-03 23:38:33 | Epoch [44/50] | Batch 60/509 | d_loss: 0.4276 | g_loss: 4.4592 2023-06-03 23:38:35 | Epoch [44/50] | Batch 65/509 | d_loss: 0.3645 | g_loss: 6.8867 2023-06-03 23:38:37 | Epoch [44/50] | Batch 70/509 | d_loss: 0.3768 | g_loss: 4.5728 2023-06-03 23:38:38 | Epoch [44/50] | Batch 75/509 | d_loss: 0.4480 | g_loss: 3.2781 2023-06-03 23:38:40 | Epoch [44/50] | Batch 80/509 | d_loss: 0.3881 | g_loss: 3.6015 2023-06-03 23:38:41 | Epoch [44/50] | Batch 85/509 | d_loss: 0.4183 | g_loss: 4.8249 2023-06-03 23:38:43 | Epoch [44/50] | Batch 90/509 | d_loss: 0.4167 | g_loss: 4.2337 2023-06-03 23:38:45 | Epoch [44/50] | Batch 95/509 | d_loss: 0.5236 | g_loss: 5.0791 2023-06-03 23:38:46 | Epoch [44/50] | Batch 100/509 | d_loss: 0.4525 | g_loss: 4.7424 2023-06-03 23:38:48 | Epoch [44/50] | Batch 105/509 | d_loss: 0.8069 | g_loss: 4.2091 2023-06-03 23:38:50 | Epoch [44/50] | Batch 110/509 | d_loss: 0.4277 | g_loss: 3.2428 2023-06-03 23:38:51 | Epoch [44/50] | Batch 115/509 | d_loss: 0.5348 | g_loss: 3.4467 2023-06-03 23:38:53 | Epoch [44/50] | Batch 120/509 | d_loss: 0.5279 | g_loss: 3.0104 2023-06-03 23:38:55 | Epoch [44/50] | Batch 125/509 | d_loss: 0.4106 | g_loss: 4.0788 2023-06-03 23:38:56 | Epoch [44/50] | Batch 130/509 | d_loss: 0.4143 | g_loss: 4.1328 2023-06-03 23:38:58 | Epoch [44/50] | Batch 135/509 | d_loss: 0.4136 | g_loss: 3.1265 2023-06-03 23:39:00 | Epoch [44/50] | Batch 140/509 | d_loss: 0.3964 | g_loss: 4.4033 2023-06-03 23:39:01 | Epoch [44/50] | Batch 145/509 | d_loss: 0.3871 | g_loss: 4.6370 2023-06-03 23:39:03 | Epoch [44/50] | Batch 150/509 | d_loss: 0.7949 | g_loss: 6.4301 2023-06-03 23:39:04 | Epoch [44/50] | Batch 155/509 | d_loss: 0.4635 | g_loss: 4.8561 2023-06-03 23:39:06 | Epoch [44/50] | Batch 160/509 | d_loss: 0.5228 | g_loss: 3.8102 2023-06-03 23:39:08 | Epoch [44/50] | Batch 165/509 | d_loss: 0.4092 | g_loss: 3.9508 2023-06-03 23:39:09 | Epoch [44/50] | Batch 170/509 | d_loss: 0.5462 | g_loss: 2.6922 2023-06-03 23:39:11 | Epoch [44/50] | Batch 175/509 | d_loss: 0.3754 | g_loss: 6.2251 2023-06-03 23:39:13 | Epoch [44/50] | Batch 180/509 | d_loss: 0.4341 | g_loss: 4.3371 2023-06-03 23:39:14 | Epoch [44/50] | Batch 185/509 | d_loss: 0.4100 | g_loss: 5.6984 2023-06-03 23:39:16 | Epoch [44/50] | Batch 190/509 | d_loss: 0.4328 | g_loss: 3.3117 2023-06-03 23:39:18 | Epoch [44/50] | Batch 195/509 | d_loss: 0.4065 | g_loss: 3.2372 2023-06-03 23:39:19 | Epoch [44/50] | Batch 200/509 | d_loss: 0.3876 | g_loss: 4.1070 2023-06-03 23:39:21 | Epoch [44/50] | Batch 205/509 | d_loss: 0.3933 | g_loss: 4.7083 2023-06-03 23:39:22 | Epoch [44/50] | Batch 210/509 | d_loss: 0.3946 | g_loss: 4.5236 2023-06-03 23:39:24 | Epoch [44/50] | Batch 215/509 | d_loss: 0.3839 | g_loss: 4.7259 2023-06-03 23:39:26 | Epoch [44/50] | Batch 220/509 | d_loss: 0.3706 | g_loss: 4.0158 2023-06-03 23:39:27 | Epoch [44/50] | Batch 225/509 | d_loss: 0.3920 | g_loss: 4.2589 2023-06-03 23:39:29 | Epoch [44/50] | Batch 230/509 | d_loss: 0.3753 | g_loss: 3.7588 2023-06-03 23:39:31 | Epoch [44/50] | Batch 235/509 | d_loss: 0.3610 | g_loss: 6.1372 2023-06-03 23:39:32 | Epoch [44/50] | Batch 240/509 | d_loss: 0.3812 | g_loss: 3.4931 2023-06-03 23:39:34 | Epoch [44/50] | Batch 245/509 | d_loss: 0.3735 | g_loss: 3.5487 2023-06-03 23:39:36 | Epoch [44/50] | Batch 250/509 | d_loss: 0.3517 | g_loss: 5.1228 2023-06-03 23:39:37 | Epoch [44/50] | Batch 255/509 | d_loss: 0.3595 | g_loss: 3.8642 2023-06-03 23:39:39 | Epoch [44/50] | Batch 260/509 | d_loss: 0.3549 | g_loss: 4.3959 2023-06-03 23:39:40 | Epoch [44/50] | Batch 265/509 | d_loss: 0.4111 | g_loss: 4.6875 2023-06-03 23:39:42 | Epoch [44/50] | Batch 270/509 | d_loss: 0.3885 | g_loss: 4.4955 2023-06-03 23:39:44 | Epoch [44/50] | Batch 275/509 | d_loss: 0.4156 | g_loss: 5.1136 2023-06-03 23:39:45 | Epoch [44/50] | Batch 280/509 | d_loss: 0.3708 | g_loss: 3.9654 2023-06-03 23:39:47 | Epoch [44/50] | Batch 285/509 | d_loss: 0.4668 | g_loss: 2.9367 2023-06-03 23:39:49 | Epoch [44/50] | Batch 290/509 | d_loss: 0.5247 | g_loss: 4.9697 2023-06-03 23:39:50 | Epoch [44/50] | Batch 295/509 | d_loss: 0.3611 | g_loss: 5.6501 2023-06-03 23:39:52 | Epoch [44/50] | Batch 300/509 | d_loss: 0.3543 | g_loss: 5.6243 2023-06-03 23:39:54 | Epoch [44/50] | Batch 305/509 | d_loss: 0.3782 | g_loss: 5.4233 2023-06-03 23:39:55 | Epoch [44/50] | Batch 310/509 | d_loss: 0.4115 | g_loss: 3.5863 2023-06-03 23:39:57 | Epoch [44/50] | Batch 315/509 | d_loss: 0.4059 | g_loss: 5.5561 2023-06-03 23:39:58 | Epoch [44/50] | Batch 320/509 | d_loss: 0.3705 | g_loss: 5.6920 2023-06-03 23:40:00 | Epoch [44/50] | Batch 325/509 | d_loss: 0.4060 | g_loss: 6.4341 2023-06-03 23:40:02 | Epoch [44/50] | Batch 330/509 | d_loss: 0.3881 | g_loss: 4.2277 2023-06-03 23:40:03 | Epoch [44/50] | Batch 335/509 | d_loss: 0.4685 | g_loss: 2.8343 2023-06-03 23:40:05 | Epoch [44/50] | Batch 340/509 | d_loss: 0.3775 | g_loss: 4.7693 2023-06-03 23:40:07 | Epoch [44/50] | Batch 345/509 | d_loss: 0.3480 | g_loss: 5.0080 2023-06-03 23:40:08 | Epoch [44/50] | Batch 350/509 | d_loss: 0.4007 | g_loss: 5.3393 2023-06-03 23:40:10 | Epoch [44/50] | Batch 355/509 | d_loss: 0.4889 | g_loss: 3.7115 2023-06-03 23:40:12 | Epoch [44/50] | Batch 360/509 | d_loss: 0.4010 | g_loss: 3.5679 2023-06-03 23:40:13 | Epoch [44/50] | Batch 365/509 | d_loss: 0.4322 | g_loss: 3.4655 2023-06-03 23:40:15 | Epoch [44/50] | Batch 370/509 | d_loss: 0.4685 | g_loss: 4.1150 2023-06-03 23:40:16 | Epoch [44/50] | Batch 375/509 | d_loss: 0.3524 | g_loss: 7.0810 2023-06-03 23:40:18 | Epoch [44/50] | Batch 380/509 | d_loss: 0.3986 | g_loss: 3.1834 2023-06-03 23:40:20 | Epoch [44/50] | Batch 385/509 | d_loss: 0.4447 | g_loss: 4.0540 2023-06-03 23:40:21 | Epoch [44/50] | Batch 390/509 | d_loss: 0.4019 | g_loss: 3.3155 2023-06-03 23:40:23 | Epoch [44/50] | Batch 395/509 | d_loss: 0.3531 | g_loss: 6.1663 2023-06-03 23:40:25 | Epoch [44/50] | Batch 400/509 | d_loss: 0.5170 | g_loss: 2.8497 2023-06-03 23:40:26 | Epoch [44/50] | Batch 405/509 | d_loss: 0.4244 | g_loss: 4.2572 2023-06-03 23:40:28 | Epoch [44/50] | Batch 410/509 | d_loss: 0.3608 | g_loss: 4.5228 2023-06-03 23:40:30 | Epoch [44/50] | Batch 415/509 | d_loss: 0.7420 | g_loss: 5.4555 2023-06-03 23:40:31 | Epoch [44/50] | Batch 420/509 | d_loss: 0.3730 | g_loss: 5.6775 2023-06-03 23:40:33 | Epoch [44/50] | Batch 425/509 | d_loss: 0.3842 | g_loss: 4.5770 2023-06-03 23:40:35 | Epoch [44/50] | Batch 430/509 | d_loss: 0.3967 | g_loss: 3.1926 2023-06-03 23:40:36 | Epoch [44/50] | Batch 435/509 | d_loss: 0.3600 | g_loss: 5.5696 2023-06-03 23:40:38 | Epoch [44/50] | Batch 440/509 | d_loss: 0.3610 | g_loss: 3.9761 2023-06-03 23:40:39 | Epoch [44/50] | Batch 445/509 | d_loss: 0.3942 | g_loss: 4.3133 2023-06-03 23:40:41 | Epoch [44/50] | Batch 450/509 | d_loss: 0.4082 | g_loss: 4.8338 2023-06-03 23:40:43 | Epoch [44/50] | Batch 455/509 | d_loss: 0.4218 | g_loss: 4.1466 2023-06-03 23:40:44 | Epoch [44/50] | Batch 460/509 | d_loss: 0.3935 | g_loss: 3.2204 2023-06-03 23:40:46 | Epoch [44/50] | Batch 465/509 | d_loss: 0.4271 | g_loss: 4.9784 2023-06-03 23:40:48 | Epoch [44/50] | Batch 470/509 | d_loss: 0.6187 | g_loss: 5.3140 2023-06-03 23:40:49 | Epoch [44/50] | Batch 475/509 | d_loss: 0.3521 | g_loss: 4.9989 2023-06-03 23:40:51 | Epoch [44/50] | Batch 480/509 | d_loss: 0.3797 | g_loss: 4.8812 2023-06-03 23:40:53 | Epoch [44/50] | Batch 485/509 | d_loss: 0.7484 | g_loss: 4.7937 2023-06-03 23:40:54 | Epoch [44/50] | Batch 490/509 | d_loss: 0.3476 | g_loss: 6.5356 2023-06-03 23:40:56 | Epoch [44/50] | Batch 495/509 | d_loss: 0.3816 | g_loss: 5.7061 2023-06-03 23:40:57 | Epoch [44/50] | Batch 500/509 | d_loss: 0.5278 | g_loss: 5.6830 2023-06-03 23:40:59 | Epoch [44/50] | Batch 505/509 | d_loss: 0.3879 | g_loss: 5.5106
2023-06-03 23:41:02 | Epoch [45/50] | Batch 0/509 | d_loss: 0.3924 | g_loss: 3.9472 2023-06-03 23:41:03 | Epoch [45/50] | Batch 5/509 | d_loss: 0.4042 | g_loss: 3.4929 2023-06-03 23:41:05 | Epoch [45/50] | Batch 10/509 | d_loss: 0.4367 | g_loss: 2.3860 2023-06-03 23:41:06 | Epoch [45/50] | Batch 15/509 | d_loss: 0.3932 | g_loss: 3.9386 2023-06-03 23:41:08 | Epoch [45/50] | Batch 20/509 | d_loss: 0.3853 | g_loss: 5.2556 2023-06-03 23:41:10 | Epoch [45/50] | Batch 25/509 | d_loss: 0.3655 | g_loss: 4.7828 2023-06-03 23:41:11 | Epoch [45/50] | Batch 30/509 | d_loss: 0.3696 | g_loss: 7.4464 2023-06-03 23:41:13 | Epoch [45/50] | Batch 35/509 | d_loss: 0.4068 | g_loss: 4.1985 2023-06-03 23:41:15 | Epoch [45/50] | Batch 40/509 | d_loss: 0.9432 | g_loss: 2.7473 2023-06-03 23:41:16 | Epoch [45/50] | Batch 45/509 | d_loss: 0.6282 | g_loss: 3.5020 2023-06-03 23:41:18 | Epoch [45/50] | Batch 50/509 | d_loss: 0.4993 | g_loss: 3.5314 2023-06-03 23:41:20 | Epoch [45/50] | Batch 55/509 | d_loss: 0.4245 | g_loss: 4.5306 2023-06-03 23:41:21 | Epoch [45/50] | Batch 60/509 | d_loss: 0.4779 | g_loss: 4.2764 2023-06-03 23:41:23 | Epoch [45/50] | Batch 65/509 | d_loss: 0.5364 | g_loss: 3.6017 2023-06-03 23:41:24 | Epoch [45/50] | Batch 70/509 | d_loss: 0.4392 | g_loss: 3.1852 2023-06-03 23:41:26 | Epoch [45/50] | Batch 75/509 | d_loss: 0.4635 | g_loss: 3.6915 2023-06-03 23:41:28 | Epoch [45/50] | Batch 80/509 | d_loss: 0.4124 | g_loss: 3.9737 2023-06-03 23:41:29 | Epoch [45/50] | Batch 85/509 | d_loss: 0.5948 | g_loss: 4.4978 2023-06-03 23:41:31 | Epoch [45/50] | Batch 90/509 | d_loss: 0.3773 | g_loss: 5.6285 2023-06-03 23:41:33 | Epoch [45/50] | Batch 95/509 | d_loss: 0.4218 | g_loss: 4.0833 2023-06-03 23:41:34 | Epoch [45/50] | Batch 100/509 | d_loss: 0.3682 | g_loss: 4.1066 2023-06-03 23:41:36 | Epoch [45/50] | Batch 105/509 | d_loss: 0.3808 | g_loss: 4.2276 2023-06-03 23:41:38 | Epoch [45/50] | Batch 110/509 | d_loss: 0.4250 | g_loss: 3.9545 2023-06-03 23:41:39 | Epoch [45/50] | Batch 115/509 | d_loss: 0.3491 | g_loss: 7.5420 2023-06-03 23:41:41 | Epoch [45/50] | Batch 120/509 | d_loss: 0.3637 | g_loss: 4.6605 2023-06-03 23:41:42 | Epoch [45/50] | Batch 125/509 | d_loss: 0.3963 | g_loss: 5.2424 2023-06-03 23:41:44 | Epoch [45/50] | Batch 130/509 | d_loss: 0.4586 | g_loss: 4.0599 2023-06-03 23:41:46 | Epoch [45/50] | Batch 135/509 | d_loss: 0.8846 | g_loss: 2.6884 2023-06-03 23:41:47 | Epoch [45/50] | Batch 140/509 | d_loss: 0.3685 | g_loss: 4.7449 2023-06-03 23:41:49 | Epoch [45/50] | Batch 145/509 | d_loss: 0.7270 | g_loss: 4.8005 2023-06-03 23:41:51 | Epoch [45/50] | Batch 150/509 | d_loss: 0.3921 | g_loss: 4.7801 2023-06-03 23:41:52 | Epoch [45/50] | Batch 155/509 | d_loss: 0.4195 | g_loss: 4.0300 2023-06-03 23:41:54 | Epoch [45/50] | Batch 160/509 | d_loss: 0.4483 | g_loss: 3.0965 2023-06-03 23:41:56 | Epoch [45/50] | Batch 165/509 | d_loss: 0.4225 | g_loss: 4.0835 2023-06-03 23:41:57 | Epoch [45/50] | Batch 170/509 | d_loss: 0.3649 | g_loss: 5.6139 2023-06-03 23:41:59 | Epoch [45/50] | Batch 175/509 | d_loss: 0.3972 | g_loss: 3.7305 2023-06-03 23:42:00 | Epoch [45/50] | Batch 180/509 | d_loss: 0.3836 | g_loss: 3.9520 2023-06-03 23:42:02 | Epoch [45/50] | Batch 185/509 | d_loss: 0.4042 | g_loss: 5.0016 2023-06-03 23:42:04 | Epoch [45/50] | Batch 190/509 | d_loss: 0.6290 | g_loss: 5.2915 2023-06-03 23:42:05 | Epoch [45/50] | Batch 195/509 | d_loss: 0.5117 | g_loss: 1.7238 2023-06-03 23:42:07 | Epoch [45/50] | Batch 200/509 | d_loss: 0.4593 | g_loss: 4.2864 2023-06-03 23:42:09 | Epoch [45/50] | Batch 205/509 | d_loss: 0.3641 | g_loss: 4.7860 2023-06-03 23:42:10 | Epoch [45/50] | Batch 210/509 | d_loss: 0.4021 | g_loss: 3.4924 2023-06-03 23:42:12 | Epoch [45/50] | Batch 215/509 | d_loss: 0.3730 | g_loss: 5.1453 2023-06-03 23:42:14 | Epoch [45/50] | Batch 220/509 | d_loss: 0.3703 | g_loss: 5.8050 2023-06-03 23:42:15 | Epoch [45/50] | Batch 225/509 | d_loss: 0.3992 | g_loss: 4.7528 2023-06-03 23:42:17 | Epoch [45/50] | Batch 230/509 | d_loss: 0.4063 | g_loss: 4.7278 2023-06-03 23:42:18 | Epoch [45/50] | Batch 235/509 | d_loss: 0.3860 | g_loss: 4.2871 2023-06-03 23:42:20 | Epoch [45/50] | Batch 240/509 | d_loss: 0.3607 | g_loss: 5.7350 2023-06-03 23:42:22 | Epoch [45/50] | Batch 245/509 | d_loss: 0.3751 | g_loss: 3.5821 2023-06-03 23:42:23 | Epoch [45/50] | Batch 250/509 | d_loss: 0.3606 | g_loss: 4.4087 2023-06-03 23:42:25 | Epoch [45/50] | Batch 255/509 | d_loss: 0.3662 | g_loss: 3.5856 2023-06-03 23:42:27 | Epoch [45/50] | Batch 260/509 | d_loss: 0.3935 | g_loss: 5.5201 2023-06-03 23:42:28 | Epoch [45/50] | Batch 265/509 | d_loss: 0.4430 | g_loss: 3.3930 2023-06-03 23:42:30 | Epoch [45/50] | Batch 270/509 | d_loss: 0.3976 | g_loss: 4.1606 2023-06-03 23:42:32 | Epoch [45/50] | Batch 275/509 | d_loss: 0.3683 | g_loss: 4.9850 2023-06-03 23:42:33 | Epoch [45/50] | Batch 280/509 | d_loss: 0.3694 | g_loss: 4.2508 2023-06-03 23:42:35 | Epoch [45/50] | Batch 285/509 | d_loss: 0.4079 | g_loss: 6.3090 2023-06-03 23:42:36 | Epoch [45/50] | Batch 290/509 | d_loss: 0.3767 | g_loss: 3.6623 2023-06-03 23:42:38 | Epoch [45/50] | Batch 295/509 | d_loss: 0.7776 | g_loss: 3.2594 2023-06-03 23:42:40 | Epoch [45/50] | Batch 300/509 | d_loss: 1.7454 | g_loss: 2.4650 2023-06-03 23:42:41 | Epoch [45/50] | Batch 305/509 | d_loss: 0.7411 | g_loss: 2.5819 2023-06-03 23:42:43 | Epoch [45/50] | Batch 310/509 | d_loss: 0.4935 | g_loss: 3.6141 2023-06-03 23:42:45 | Epoch [45/50] | Batch 315/509 | d_loss: 0.4878 | g_loss: 3.1951 2023-06-03 23:42:46 | Epoch [45/50] | Batch 320/509 | d_loss: 0.6229 | g_loss: 1.9628 2023-06-03 23:42:48 | Epoch [45/50] | Batch 325/509 | d_loss: 0.5611 | g_loss: 3.4677 2023-06-03 23:42:50 | Epoch [45/50] | Batch 330/509 | d_loss: 0.3919 | g_loss: 6.6197 2023-06-03 23:42:51 | Epoch [45/50] | Batch 335/509 | d_loss: 0.4380 | g_loss: 4.0225 2023-06-03 23:42:53 | Epoch [45/50] | Batch 340/509 | d_loss: 0.5788 | g_loss: 2.9363 2023-06-03 23:42:54 | Epoch [45/50] | Batch 345/509 | d_loss: 0.3711 | g_loss: 4.5957 2023-06-03 23:42:56 | Epoch [45/50] | Batch 350/509 | d_loss: 0.3914 | g_loss: 4.0737 2023-06-03 23:42:58 | Epoch [45/50] | Batch 355/509 | d_loss: 0.3890 | g_loss: 3.8141 2023-06-03 23:42:59 | Epoch [45/50] | Batch 360/509 | d_loss: 0.3767 | g_loss: 5.3508 2023-06-03 23:43:01 | Epoch [45/50] | Batch 365/509 | d_loss: 0.4028 | g_loss: 3.5590 2023-06-03 23:43:03 | Epoch [45/50] | Batch 370/509 | d_loss: 0.4086 | g_loss: 5.0237 2023-06-03 23:43:04 | Epoch [45/50] | Batch 375/509 | d_loss: 0.4010 | g_loss: 3.3671 2023-06-03 23:43:06 | Epoch [45/50] | Batch 380/509 | d_loss: 0.5020 | g_loss: 4.9268 2023-06-03 23:43:08 | Epoch [45/50] | Batch 385/509 | d_loss: 0.3543 | g_loss: 5.1482 2023-06-03 23:43:09 | Epoch [45/50] | Batch 390/509 | d_loss: 0.3913 | g_loss: 3.5291 2023-06-03 23:43:11 | Epoch [45/50] | Batch 395/509 | d_loss: 0.4109 | g_loss: 5.0073 2023-06-03 23:43:12 | Epoch [45/50] | Batch 400/509 | d_loss: 0.3737 | g_loss: 4.1237 2023-06-03 23:43:14 | Epoch [45/50] | Batch 405/509 | d_loss: 0.6612 | g_loss: 4.6281 2023-06-03 23:43:16 | Epoch [45/50] | Batch 410/509 | d_loss: 0.3735 | g_loss: 7.0819 2023-06-03 23:43:17 | Epoch [45/50] | Batch 415/509 | d_loss: 0.3871 | g_loss: 3.9789 2023-06-03 23:43:19 | Epoch [45/50] | Batch 420/509 | d_loss: 0.3982 | g_loss: 4.9398 2023-06-03 23:43:21 | Epoch [45/50] | Batch 425/509 | d_loss: 0.3891 | g_loss: 5.5791 2023-06-03 23:43:22 | Epoch [45/50] | Batch 430/509 | d_loss: 0.4010 | g_loss: 3.1885 2023-06-03 23:43:24 | Epoch [45/50] | Batch 435/509 | d_loss: 0.3710 | g_loss: 4.9223 2023-06-03 23:43:26 | Epoch [45/50] | Batch 440/509 | d_loss: 0.3655 | g_loss: 5.6919 2023-06-03 23:43:27 | Epoch [45/50] | Batch 445/509 | d_loss: 0.3961 | g_loss: 6.1610 2023-06-03 23:43:29 | Epoch [45/50] | Batch 450/509 | d_loss: 0.4102 | g_loss: 3.2683 2023-06-03 23:43:30 | Epoch [45/50] | Batch 455/509 | d_loss: 0.3915 | g_loss: 5.0752 2023-06-03 23:43:32 | Epoch [45/50] | Batch 460/509 | d_loss: 0.4707 | g_loss: 3.5634 2023-06-03 23:43:34 | Epoch [45/50] | Batch 465/509 | d_loss: 0.3581 | g_loss: 6.1399 2023-06-03 23:43:35 | Epoch [45/50] | Batch 470/509 | d_loss: 0.4471 | g_loss: 4.1000 2023-06-03 23:43:37 | Epoch [45/50] | Batch 475/509 | d_loss: 0.4928 | g_loss: 7.9037 2023-06-03 23:43:39 | Epoch [45/50] | Batch 480/509 | d_loss: 0.3698 | g_loss: 4.2011 2023-06-03 23:43:40 | Epoch [45/50] | Batch 485/509 | d_loss: 0.4032 | g_loss: 3.5539 2023-06-03 23:43:42 | Epoch [45/50] | Batch 490/509 | d_loss: 0.3777 | g_loss: 3.6414 2023-06-03 23:43:44 | Epoch [45/50] | Batch 495/509 | d_loss: 0.4287 | g_loss: 4.1323 2023-06-03 23:43:45 | Epoch [45/50] | Batch 500/509 | d_loss: 0.3632 | g_loss: 3.6894 2023-06-03 23:43:47 | Epoch [45/50] | Batch 505/509 | d_loss: 0.4503 | g_loss: 4.6016
2023-06-03 23:43:49 | Epoch [46/50] | Batch 0/509 | d_loss: 0.3929 | g_loss: 4.7797 2023-06-03 23:43:51 | Epoch [46/50] | Batch 5/509 | d_loss: 0.4029 | g_loss: 4.8060 2023-06-03 23:43:53 | Epoch [46/50] | Batch 10/509 | d_loss: 0.3732 | g_loss: 4.3113 2023-06-03 23:43:54 | Epoch [46/50] | Batch 15/509 | d_loss: 0.3768 | g_loss: 3.0829 2023-06-03 23:43:56 | Epoch [46/50] | Batch 20/509 | d_loss: 0.3853 | g_loss: 3.7973 2023-06-03 23:43:57 | Epoch [46/50] | Batch 25/509 | d_loss: 0.4819 | g_loss: 2.3441 2023-06-03 23:43:59 | Epoch [46/50] | Batch 30/509 | d_loss: 0.3748 | g_loss: 3.5694 2023-06-03 23:44:01 | Epoch [46/50] | Batch 35/509 | d_loss: 0.4116 | g_loss: 4.6271 2023-06-03 23:44:02 | Epoch [46/50] | Batch 40/509 | d_loss: 0.3495 | g_loss: 7.0842 2023-06-03 23:44:04 | Epoch [46/50] | Batch 45/509 | d_loss: 0.5455 | g_loss: 5.5441 2023-06-03 23:44:06 | Epoch [46/50] | Batch 50/509 | d_loss: 0.4204 | g_loss: 5.0560 2023-06-03 23:44:07 | Epoch [46/50] | Batch 55/509 | d_loss: 0.3646 | g_loss: 4.5825 2023-06-03 23:44:09 | Epoch [46/50] | Batch 60/509 | d_loss: 0.3673 | g_loss: 3.7143 2023-06-03 23:44:11 | Epoch [46/50] | Batch 65/509 | d_loss: 0.3734 | g_loss: 3.2264 2023-06-03 23:44:12 | Epoch [46/50] | Batch 70/509 | d_loss: 0.3801 | g_loss: 4.5154 2023-06-03 23:44:14 | Epoch [46/50] | Batch 75/509 | d_loss: 0.3991 | g_loss: 3.8581 2023-06-03 23:44:15 | Epoch [46/50] | Batch 80/509 | d_loss: 0.5314 | g_loss: 5.6297 2023-06-03 23:44:17 | Epoch [46/50] | Batch 85/509 | d_loss: 2.0451 | g_loss: 6.7405 2023-06-03 23:44:19 | Epoch [46/50] | Batch 90/509 | d_loss: 0.4676 | g_loss: 3.0841 2023-06-03 23:44:20 | Epoch [46/50] | Batch 95/509 | d_loss: 0.4714 | g_loss: 3.8567 2023-06-03 23:44:22 | Epoch [46/50] | Batch 100/509 | d_loss: 0.4260 | g_loss: 3.6782 2023-06-03 23:44:24 | Epoch [46/50] | Batch 105/509 | d_loss: 0.4563 | g_loss: 4.2069 2023-06-03 23:44:25 | Epoch [46/50] | Batch 110/509 | d_loss: 0.5377 | g_loss: 2.6026 2023-06-03 23:44:27 | Epoch [46/50] | Batch 115/509 | d_loss: 0.5952 | g_loss: 2.1347 2023-06-03 23:44:29 | Epoch [46/50] | Batch 120/509 | d_loss: 0.4431 | g_loss: 2.6850 2023-06-03 23:44:30 | Epoch [46/50] | Batch 125/509 | d_loss: 0.4204 | g_loss: 3.7679 2023-06-03 23:44:32 | Epoch [46/50] | Batch 130/509 | d_loss: 0.4601 | g_loss: 2.3487 2023-06-03 23:44:33 | Epoch [46/50] | Batch 135/509 | d_loss: 0.3797 | g_loss: 3.7222 2023-06-03 23:44:35 | Epoch [46/50] | Batch 140/509 | d_loss: 0.4225 | g_loss: 3.9312 2023-06-03 23:44:37 | Epoch [46/50] | Batch 145/509 | d_loss: 0.3644 | g_loss: 4.1333 2023-06-03 23:44:38 | Epoch [46/50] | Batch 150/509 | d_loss: 0.7187 | g_loss: 6.2368 2023-06-03 23:44:40 | Epoch [46/50] | Batch 155/509 | d_loss: 0.3830 | g_loss: 4.1795 2023-06-03 23:44:42 | Epoch [46/50] | Batch 160/509 | d_loss: 0.3935 | g_loss: 4.6902 2023-06-03 23:44:43 | Epoch [46/50] | Batch 165/509 | d_loss: 0.3792 | g_loss: 3.9492 2023-06-03 23:44:45 | Epoch [46/50] | Batch 170/509 | d_loss: 0.3902 | g_loss: 4.6615 2023-06-03 23:44:47 | Epoch [46/50] | Batch 175/509 | d_loss: 0.3917 | g_loss: 3.9597 2023-06-03 23:44:48 | Epoch [46/50] | Batch 180/509 | d_loss: 0.3779 | g_loss: 4.8874 2023-06-03 23:44:50 | Epoch [46/50] | Batch 185/509 | d_loss: 0.4757 | g_loss: 3.3110 2023-06-03 23:44:52 | Epoch [46/50] | Batch 190/509 | d_loss: 0.4796 | g_loss: 4.2231 2023-06-03 23:44:53 | Epoch [46/50] | Batch 195/509 | d_loss: 0.3660 | g_loss: 3.7548 2023-06-03 23:44:55 | Epoch [46/50] | Batch 200/509 | d_loss: 0.3782 | g_loss: 3.8121 2023-06-03 23:44:56 | Epoch [46/50] | Batch 205/509 | d_loss: 0.4597 | g_loss: 2.7619 2023-06-03 23:44:58 | Epoch [46/50] | Batch 210/509 | d_loss: 0.4185 | g_loss: 4.0768 2023-06-03 23:45:00 | Epoch [46/50] | Batch 215/509 | d_loss: 0.3729 | g_loss: 2.7106 2023-06-03 23:45:01 | Epoch [46/50] | Batch 220/509 | d_loss: 0.3892 | g_loss: 4.6524 2023-06-03 23:45:03 | Epoch [46/50] | Batch 225/509 | d_loss: 0.3554 | g_loss: 4.8177 2023-06-03 23:45:05 | Epoch [46/50] | Batch 230/509 | d_loss: 0.6188 | g_loss: 3.8504 2023-06-03 23:45:06 | Epoch [46/50] | Batch 235/509 | d_loss: 0.4105 | g_loss: 3.4271 2023-06-03 23:45:08 | Epoch [46/50] | Batch 240/509 | d_loss: 0.3710 | g_loss: 4.7717 2023-06-03 23:45:10 | Epoch [46/50] | Batch 245/509 | d_loss: 0.3828 | g_loss: 3.9697 2023-06-03 23:45:11 | Epoch [46/50] | Batch 250/509 | d_loss: 0.3815 | g_loss: 5.5191 2023-06-03 23:45:13 | Epoch [46/50] | Batch 255/509 | d_loss: 0.6710 | g_loss: 1.8458 2023-06-03 23:45:14 | Epoch [46/50] | Batch 260/509 | d_loss: 1.4451 | g_loss: 0.9653 2023-06-03 23:45:16 | Epoch [46/50] | Batch 265/509 | d_loss: 0.6206 | g_loss: 2.1011 2023-06-03 23:45:18 | Epoch [46/50] | Batch 270/509 | d_loss: 0.6525 | g_loss: 2.8747 2023-06-03 23:45:19 | Epoch [46/50] | Batch 275/509 | d_loss: 0.4746 | g_loss: 2.3466 2023-06-03 23:45:21 | Epoch [46/50] | Batch 280/509 | d_loss: 0.4428 | g_loss: 3.6247 2023-06-03 23:45:23 | Epoch [46/50] | Batch 285/509 | d_loss: 0.4727 | g_loss: 3.3978 2023-06-03 23:45:24 | Epoch [46/50] | Batch 290/509 | d_loss: 0.4497 | g_loss: 3.6938 2023-06-03 23:45:26 | Epoch [46/50] | Batch 295/509 | d_loss: 0.4419 | g_loss: 3.8277 2023-06-03 23:45:28 | Epoch [46/50] | Batch 300/509 | d_loss: 0.4454 | g_loss: 2.8492 2023-06-03 23:45:29 | Epoch [46/50] | Batch 305/509 | d_loss: 0.4167 | g_loss: 3.6652 2023-06-03 23:45:31 | Epoch [46/50] | Batch 310/509 | d_loss: 0.5163 | g_loss: 2.0560 2023-06-03 23:45:33 | Epoch [46/50] | Batch 315/509 | d_loss: 0.4937 | g_loss: 3.7720 2023-06-03 23:45:34 | Epoch [46/50] | Batch 320/509 | d_loss: 0.4447 | g_loss: 4.2834 2023-06-03 23:45:36 | Epoch [46/50] | Batch 325/509 | d_loss: 0.5296 | g_loss: 2.1194 2023-06-03 23:45:37 | Epoch [46/50] | Batch 330/509 | d_loss: 0.3975 | g_loss: 3.9267 2023-06-03 23:45:39 | Epoch [46/50] | Batch 335/509 | d_loss: 0.4129 | g_loss: 3.8412 2023-06-03 23:45:41 | Epoch [46/50] | Batch 340/509 | d_loss: 0.3800 | g_loss: 4.7497 2023-06-03 23:45:42 | Epoch [46/50] | Batch 345/509 | d_loss: 0.4014 | g_loss: 3.1718 2023-06-03 23:45:44 | Epoch [46/50] | Batch 350/509 | d_loss: 0.5146 | g_loss: 3.6760 2023-06-03 23:45:46 | Epoch [46/50] | Batch 355/509 | d_loss: 0.4851 | g_loss: 4.5086 2023-06-03 23:45:47 | Epoch [46/50] | Batch 360/509 | d_loss: 0.3539 | g_loss: 4.4691 2023-06-03 23:45:49 | Epoch [46/50] | Batch 365/509 | d_loss: 0.3706 | g_loss: 4.8864 2023-06-03 23:45:51 | Epoch [46/50] | Batch 370/509 | d_loss: 0.4264 | g_loss: 3.7278 2023-06-03 23:45:52 | Epoch [46/50] | Batch 375/509 | d_loss: 0.5498 | g_loss: 1.8395 2023-06-03 23:45:54 | Epoch [46/50] | Batch 380/509 | d_loss: 0.4326 | g_loss: 4.3522 2023-06-03 23:45:55 | Epoch [46/50] | Batch 385/509 | d_loss: 0.5523 | g_loss: 4.2901 2023-06-03 23:45:57 | Epoch [46/50] | Batch 390/509 | d_loss: 0.3959 | g_loss: 3.3045 2023-06-03 23:45:59 | Epoch [46/50] | Batch 395/509 | d_loss: 0.3771 | g_loss: 4.3171 2023-06-03 23:46:00 | Epoch [46/50] | Batch 400/509 | d_loss: 0.4182 | g_loss: 4.6953 2023-06-03 23:46:02 | Epoch [46/50] | Batch 405/509 | d_loss: 0.3609 | g_loss: 4.8437 2023-06-03 23:46:04 | Epoch [46/50] | Batch 410/509 | d_loss: 0.3683 | g_loss: 4.7653 2023-06-03 23:46:05 | Epoch [46/50] | Batch 415/509 | d_loss: 0.4019 | g_loss: 3.5823 2023-06-03 23:46:07 | Epoch [46/50] | Batch 420/509 | d_loss: 0.3727 | g_loss: 4.8611 2023-06-03 23:46:09 | Epoch [46/50] | Batch 425/509 | d_loss: 0.3721 | g_loss: 4.8319 2023-06-03 23:46:10 | Epoch [46/50] | Batch 430/509 | d_loss: 0.4615 | g_loss: 4.5316 2023-06-03 23:46:12 | Epoch [46/50] | Batch 435/509 | d_loss: 0.4458 | g_loss: 3.5611 2023-06-03 23:46:13 | Epoch [46/50] | Batch 440/509 | d_loss: 0.3657 | g_loss: 5.6212 2023-06-03 23:46:15 | Epoch [46/50] | Batch 445/509 | d_loss: 0.5198 | g_loss: 4.2449 2023-06-03 23:46:17 | Epoch [46/50] | Batch 450/509 | d_loss: 0.7420 | g_loss: 5.7500 2023-06-03 23:46:18 | Epoch [46/50] | Batch 455/509 | d_loss: 0.3761 | g_loss: 5.1501 2023-06-03 23:46:20 | Epoch [46/50] | Batch 460/509 | d_loss: 0.3666 | g_loss: 4.0536 2023-06-03 23:46:22 | Epoch [46/50] | Batch 465/509 | d_loss: 0.3984 | g_loss: 6.8633 2023-06-03 23:46:23 | Epoch [46/50] | Batch 470/509 | d_loss: 0.4159 | g_loss: 4.5358 2023-06-03 23:46:25 | Epoch [46/50] | Batch 475/509 | d_loss: 0.3922 | g_loss: 4.2105 2023-06-03 23:46:27 | Epoch [46/50] | Batch 480/509 | d_loss: 0.4943 | g_loss: 4.2913 2023-06-03 23:46:28 | Epoch [46/50] | Batch 485/509 | d_loss: 0.4303 | g_loss: 4.9222 2023-06-03 23:46:30 | Epoch [46/50] | Batch 490/509 | d_loss: 0.4502 | g_loss: 2.2379 2023-06-03 23:46:31 | Epoch [46/50] | Batch 495/509 | d_loss: 0.3971 | g_loss: 3.9404 2023-06-03 23:46:33 | Epoch [46/50] | Batch 500/509 | d_loss: 0.4163 | g_loss: 5.9079 2023-06-03 23:46:35 | Epoch [46/50] | Batch 505/509 | d_loss: 0.3951 | g_loss: 3.2697
2023-06-03 23:46:37 | Epoch [47/50] | Batch 0/509 | d_loss: 0.3996 | g_loss: 4.3911 2023-06-03 23:46:39 | Epoch [47/50] | Batch 5/509 | d_loss: 0.4358 | g_loss: 4.0284 2023-06-03 23:46:41 | Epoch [47/50] | Batch 10/509 | d_loss: 0.4216 | g_loss: 4.5763 2023-06-03 23:46:42 | Epoch [47/50] | Batch 15/509 | d_loss: 0.4094 | g_loss: 4.9952 2023-06-03 23:46:44 | Epoch [47/50] | Batch 20/509 | d_loss: 0.3705 | g_loss: 3.7731 2023-06-03 23:46:46 | Epoch [47/50] | Batch 25/509 | d_loss: 0.3814 | g_loss: 4.0777 2023-06-03 23:46:47 | Epoch [47/50] | Batch 30/509 | d_loss: 0.3945 | g_loss: 3.8748 2023-06-03 23:46:49 | Epoch [47/50] | Batch 35/509 | d_loss: 0.3651 | g_loss: 4.6314 2023-06-03 23:46:50 | Epoch [47/50] | Batch 40/509 | d_loss: 0.4114 | g_loss: 3.4291 2023-06-03 23:46:52 | Epoch [47/50] | Batch 45/509 | d_loss: 0.3766 | g_loss: 4.3990 2023-06-03 23:46:54 | Epoch [47/50] | Batch 50/509 | d_loss: 0.4474 | g_loss: 4.3489 2023-06-03 23:46:55 | Epoch [47/50] | Batch 55/509 | d_loss: 0.3526 | g_loss: 5.0065 2023-06-03 23:46:57 | Epoch [47/50] | Batch 60/509 | d_loss: 0.4301 | g_loss: 4.4310 2023-06-03 23:46:59 | Epoch [47/50] | Batch 65/509 | d_loss: 0.3948 | g_loss: 3.6510 2023-06-03 23:47:00 | Epoch [47/50] | Batch 70/509 | d_loss: 0.3675 | g_loss: 7.2143 2023-06-03 23:47:02 | Epoch [47/50] | Batch 75/509 | d_loss: 0.4293 | g_loss: 4.1698 2023-06-03 23:47:04 | Epoch [47/50] | Batch 80/509 | d_loss: 0.5161 | g_loss: 3.3568 2023-06-03 23:47:05 | Epoch [47/50] | Batch 85/509 | d_loss: 1.6695 | g_loss: 8.8657 2023-06-03 23:47:07 | Epoch [47/50] | Batch 90/509 | d_loss: 1.0883 | g_loss: 2.1277 2023-06-03 23:47:08 | Epoch [47/50] | Batch 95/509 | d_loss: 0.5650 | g_loss: 3.7426 2023-06-03 23:47:10 | Epoch [47/50] | Batch 100/509 | d_loss: 0.4944 | g_loss: 3.4744 2023-06-03 23:47:12 | Epoch [47/50] | Batch 105/509 | d_loss: 0.5059 | g_loss: 2.8008 2023-06-03 23:47:13 | Epoch [47/50] | Batch 110/509 | d_loss: 0.5111 | g_loss: 4.3420 2023-06-03 23:47:15 | Epoch [47/50] | Batch 115/509 | d_loss: 0.5912 | g_loss: 2.0080 2023-06-03 23:47:17 | Epoch [47/50] | Batch 120/509 | d_loss: 0.4232 | g_loss: 4.1260 2023-06-03 23:47:18 | Epoch [47/50] | Batch 125/509 | d_loss: 0.4095 | g_loss: 4.9553 2023-06-03 23:47:20 | Epoch [47/50] | Batch 130/509 | d_loss: 0.4293 | g_loss: 2.8235 2023-06-03 23:47:22 | Epoch [47/50] | Batch 135/509 | d_loss: 0.4348 | g_loss: 3.8183 2023-06-03 23:47:23 | Epoch [47/50] | Batch 140/509 | d_loss: 0.4036 | g_loss: 4.3337 2023-06-03 23:47:25 | Epoch [47/50] | Batch 145/509 | d_loss: 0.3841 | g_loss: 4.2244 2023-06-03 23:47:26 | Epoch [47/50] | Batch 150/509 | d_loss: 0.4093 | g_loss: 2.8803 2023-06-03 23:47:28 | Epoch [47/50] | Batch 155/509 | d_loss: 0.3593 | g_loss: 4.0387 2023-06-03 23:47:30 | Epoch [47/50] | Batch 160/509 | d_loss: 0.4389 | g_loss: 3.7539 2023-06-03 23:47:31 | Epoch [47/50] | Batch 165/509 | d_loss: 0.5137 | g_loss: 4.8744 2023-06-03 23:47:33 | Epoch [47/50] | Batch 170/509 | d_loss: 0.4239 | g_loss: 3.4685 2023-06-03 23:47:35 | Epoch [47/50] | Batch 175/509 | d_loss: 0.3996 | g_loss: 2.8884 2023-06-03 23:47:36 | Epoch [47/50] | Batch 180/509 | d_loss: 0.3728 | g_loss: 4.1625 2023-06-03 23:47:38 | Epoch [47/50] | Batch 185/509 | d_loss: 0.3704 | g_loss: 4.2820 2023-06-03 23:47:40 | Epoch [47/50] | Batch 190/509 | d_loss: 0.4246 | g_loss: 3.9210 2023-06-03 23:47:41 | Epoch [47/50] | Batch 195/509 | d_loss: 0.4124 | g_loss: 5.1487 2023-06-03 23:47:43 | Epoch [47/50] | Batch 200/509 | d_loss: 0.9596 | g_loss: 5.7799 2023-06-03 23:47:44 | Epoch [47/50] | Batch 205/509 | d_loss: 0.4194 | g_loss: 3.9654 2023-06-03 23:47:46 | Epoch [47/50] | Batch 210/509 | d_loss: 0.4757 | g_loss: 3.3571 2023-06-03 23:47:48 | Epoch [47/50] | Batch 215/509 | d_loss: 0.4103 | g_loss: 3.6327 2023-06-03 23:47:49 | Epoch [47/50] | Batch 220/509 | d_loss: 0.4218 | g_loss: 3.6028 2023-06-03 23:47:51 | Epoch [47/50] | Batch 225/509 | d_loss: 0.4147 | g_loss: 4.0137 2023-06-03 23:47:53 | Epoch [47/50] | Batch 230/509 | d_loss: 0.4834 | g_loss: 3.6477 2023-06-03 23:47:54 | Epoch [47/50] | Batch 235/509 | d_loss: 0.4182 | g_loss: 3.6795 2023-06-03 23:47:56 | Epoch [47/50] | Batch 240/509 | d_loss: 0.4904 | g_loss: 3.2733 2023-06-03 23:47:58 | Epoch [47/50] | Batch 245/509 | d_loss: 0.6314 | g_loss: 4.6873 2023-06-03 23:47:59 | Epoch [47/50] | Batch 250/509 | d_loss: 0.3694 | g_loss: 4.1354 2023-06-03 23:48:01 | Epoch [47/50] | Batch 255/509 | d_loss: 0.5093 | g_loss: 1.8557 2023-06-03 23:48:03 | Epoch [47/50] | Batch 260/509 | d_loss: 0.4746 | g_loss: 2.5500 2023-06-03 23:48:04 | Epoch [47/50] | Batch 265/509 | d_loss: 0.3839 | g_loss: 4.1441 2023-06-03 23:48:06 | Epoch [47/50] | Batch 270/509 | d_loss: 0.3741 | g_loss: 4.9870 2023-06-03 23:48:07 | Epoch [47/50] | Batch 275/509 | d_loss: 0.4192 | g_loss: 3.6964 2023-06-03 23:48:09 | Epoch [47/50] | Batch 280/509 | d_loss: 0.4185 | g_loss: 4.5743 2023-06-03 23:48:11 | Epoch [47/50] | Batch 285/509 | d_loss: 0.5424 | g_loss: 4.1444 2023-06-03 23:48:12 | Epoch [47/50] | Batch 290/509 | d_loss: 0.4517 | g_loss: 4.8425 2023-06-03 23:48:14 | Epoch [47/50] | Batch 295/509 | d_loss: 0.4953 | g_loss: 4.7160 2023-06-03 23:48:16 | Epoch [47/50] | Batch 300/509 | d_loss: 0.3821 | g_loss: 3.9230 2023-06-03 23:48:17 | Epoch [47/50] | Batch 305/509 | d_loss: 0.3615 | g_loss: 5.1104 2023-06-03 23:48:19 | Epoch [47/50] | Batch 310/509 | d_loss: 0.4321 | g_loss: 4.2444 2023-06-03 23:48:21 | Epoch [47/50] | Batch 315/509 | d_loss: 0.4490 | g_loss: 4.1620 2023-06-03 23:48:22 | Epoch [47/50] | Batch 320/509 | d_loss: 0.4073 | g_loss: 3.7224 2023-06-03 23:48:24 | Epoch [47/50] | Batch 325/509 | d_loss: 0.3707 | g_loss: 3.9684 2023-06-03 23:48:25 | Epoch [47/50] | Batch 330/509 | d_loss: 0.4930 | g_loss: 3.2689 2023-06-03 23:48:27 | Epoch [47/50] | Batch 335/509 | d_loss: 0.4205 | g_loss: 4.1080 2023-06-03 23:48:29 | Epoch [47/50] | Batch 340/509 | d_loss: 0.3676 | g_loss: 5.6984 2023-06-03 23:48:30 | Epoch [47/50] | Batch 345/509 | d_loss: 0.3604 | g_loss: 5.2686 2023-06-03 23:48:32 | Epoch [47/50] | Batch 350/509 | d_loss: 0.4242 | g_loss: 2.9858 2023-06-03 23:48:34 | Epoch [47/50] | Batch 355/509 | d_loss: 0.3688 | g_loss: 3.7362 2023-06-03 23:48:35 | Epoch [47/50] | Batch 360/509 | d_loss: 0.3457 | g_loss: 6.0160 2023-06-03 23:48:37 | Epoch [47/50] | Batch 365/509 | d_loss: 0.4985 | g_loss: 4.4805 2023-06-03 23:48:39 | Epoch [47/50] | Batch 370/509 | d_loss: 0.3897 | g_loss: 3.9204 2023-06-03 23:48:40 | Epoch [47/50] | Batch 375/509 | d_loss: 0.4338 | g_loss: 5.2819 2023-06-03 23:48:42 | Epoch [47/50] | Batch 380/509 | d_loss: 0.4165 | g_loss: 4.5514 2023-06-03 23:48:43 | Epoch [47/50] | Batch 385/509 | d_loss: 0.3687 | g_loss: 3.8729 2023-06-03 23:48:45 | Epoch [47/50] | Batch 390/509 | d_loss: 0.3819 | g_loss: 4.3513 2023-06-03 23:48:47 | Epoch [47/50] | Batch 395/509 | d_loss: 0.4049 | g_loss: 5.3628 2023-06-03 23:48:48 | Epoch [47/50] | Batch 400/509 | d_loss: 0.4120 | g_loss: 3.7653 2023-06-03 23:48:50 | Epoch [47/50] | Batch 405/509 | d_loss: 0.3664 | g_loss: 3.8269 2023-06-03 23:48:52 | Epoch [47/50] | Batch 410/509 | d_loss: 0.3917 | g_loss: 4.3464 2023-06-03 23:48:53 | Epoch [47/50] | Batch 415/509 | d_loss: 0.3494 | g_loss: 5.3271 2023-06-03 23:48:55 | Epoch [47/50] | Batch 420/509 | d_loss: 0.3581 | g_loss: 5.2485 2023-06-03 23:48:57 | Epoch [47/50] | Batch 425/509 | d_loss: 0.3763 | g_loss: 3.9189 2023-06-03 23:48:58 | Epoch [47/50] | Batch 430/509 | d_loss: 0.3778 | g_loss: 5.3626 2023-06-03 23:49:00 | Epoch [47/50] | Batch 435/509 | d_loss: 0.5189 | g_loss: 3.9361 2023-06-03 23:49:01 | Epoch [47/50] | Batch 440/509 | d_loss: 0.4587 | g_loss: 4.1419 2023-06-03 23:49:03 | Epoch [47/50] | Batch 445/509 | d_loss: 0.4877 | g_loss: 4.6306 2023-06-03 23:49:05 | Epoch [47/50] | Batch 450/509 | d_loss: 0.3641 | g_loss: 4.9798 2023-06-03 23:49:06 | Epoch [47/50] | Batch 455/509 | d_loss: 0.4247 | g_loss: 5.0427 2023-06-03 23:49:08 | Epoch [47/50] | Batch 460/509 | d_loss: 0.3717 | g_loss: 5.0552 2023-06-03 23:49:10 | Epoch [47/50] | Batch 465/509 | d_loss: 0.3701 | g_loss: 5.0670 2023-06-03 23:49:11 | Epoch [47/50] | Batch 470/509 | d_loss: 0.3832 | g_loss: 4.3196 2023-06-03 23:49:13 | Epoch [47/50] | Batch 475/509 | d_loss: 0.3805 | g_loss: 4.9145 2023-06-03 23:49:15 | Epoch [47/50] | Batch 480/509 | d_loss: 0.3764 | g_loss: 4.4884 2023-06-03 23:49:16 | Epoch [47/50] | Batch 485/509 | d_loss: 0.5434 | g_loss: 2.7265 2023-06-03 23:49:18 | Epoch [47/50] | Batch 490/509 | d_loss: 0.4056 | g_loss: 3.8118 2023-06-03 23:49:20 | Epoch [47/50] | Batch 495/509 | d_loss: 0.4127 | g_loss: 5.6041 2023-06-03 23:49:21 | Epoch [47/50] | Batch 500/509 | d_loss: 0.4924 | g_loss: 4.5455 2023-06-03 23:49:23 | Epoch [47/50] | Batch 505/509 | d_loss: 0.4041 | g_loss: 3.1538
2023-06-03 23:49:25 | Epoch [48/50] | Batch 0/509 | d_loss: 0.5345 | g_loss: 5.8133 2023-06-03 23:49:27 | Epoch [48/50] | Batch 5/509 | d_loss: 0.6254 | g_loss: 3.7948 2023-06-03 23:49:28 | Epoch [48/50] | Batch 10/509 | d_loss: 0.4364 | g_loss: 3.2663 2023-06-03 23:49:30 | Epoch [48/50] | Batch 15/509 | d_loss: 0.4765 | g_loss: 4.1523 2023-06-03 23:49:32 | Epoch [48/50] | Batch 20/509 | d_loss: 0.4459 | g_loss: 2.7788 2023-06-03 23:49:33 | Epoch [48/50] | Batch 25/509 | d_loss: 0.4163 | g_loss: 4.0090 2023-06-03 23:49:35 | Epoch [48/50] | Batch 30/509 | d_loss: 0.5129 | g_loss: 2.5923 2023-06-03 23:49:37 | Epoch [48/50] | Batch 35/509 | d_loss: 0.3874 | g_loss: 4.9812 2023-06-03 23:49:38 | Epoch [48/50] | Batch 40/509 | d_loss: 0.4084 | g_loss: 3.9953 2023-06-03 23:49:40 | Epoch [48/50] | Batch 45/509 | d_loss: 0.3786 | g_loss: 5.1741 2023-06-03 23:49:42 | Epoch [48/50] | Batch 50/509 | d_loss: 0.3824 | g_loss: 5.8045 2023-06-03 23:49:43 | Epoch [48/50] | Batch 55/509 | d_loss: 0.4144 | g_loss: 3.4695 2023-06-03 23:49:45 | Epoch [48/50] | Batch 60/509 | d_loss: 0.3891 | g_loss: 3.5523 2023-06-03 23:49:47 | Epoch [48/50] | Batch 65/509 | d_loss: 0.3872 | g_loss: 4.6077 2023-06-03 23:49:48 | Epoch [48/50] | Batch 70/509 | d_loss: 0.4474 | g_loss: 3.4174 2023-06-03 23:49:50 | Epoch [48/50] | Batch 75/509 | d_loss: 0.5432 | g_loss: 4.6330 2023-06-03 23:49:51 | Epoch [48/50] | Batch 80/509 | d_loss: 1.7071 | g_loss: 1.3373 2023-06-03 23:49:53 | Epoch [48/50] | Batch 85/509 | d_loss: 0.4681 | g_loss: 3.1144 2023-06-03 23:49:55 | Epoch [48/50] | Batch 90/509 | d_loss: 0.4832 | g_loss: 3.9861 2023-06-03 23:49:56 | Epoch [48/50] | Batch 95/509 | d_loss: 0.5034 | g_loss: 3.8771 2023-06-03 23:49:58 | Epoch [48/50] | Batch 100/509 | d_loss: 0.4849 | g_loss: 3.7769 2023-06-03 23:50:00 | Epoch [48/50] | Batch 105/509 | d_loss: 0.4414 | g_loss: 3.8956 2023-06-03 23:50:01 | Epoch [48/50] | Batch 110/509 | d_loss: 0.4118 | g_loss: 3.6176 2023-06-03 23:50:03 | Epoch [48/50] | Batch 115/509 | d_loss: 0.4221 | g_loss: 3.4005 2023-06-03 23:50:05 | Epoch [48/50] | Batch 120/509 | d_loss: 0.4568 | g_loss: 4.1741 2023-06-03 23:50:06 | Epoch [48/50] | Batch 125/509 | d_loss: 0.4607 | g_loss: 3.4147 2023-06-03 23:50:08 | Epoch [48/50] | Batch 130/509 | d_loss: 0.3890 | g_loss: 4.1476 2023-06-03 23:50:09 | Epoch [48/50] | Batch 135/509 | d_loss: 0.5446 | g_loss: 2.9818 2023-06-03 23:50:11 | Epoch [48/50] | Batch 140/509 | d_loss: 0.3960 | g_loss: 3.7385 2023-06-03 23:50:13 | Epoch [48/50] | Batch 145/509 | d_loss: 0.3978 | g_loss: 3.7880 2023-06-03 23:50:14 | Epoch [48/50] | Batch 150/509 | d_loss: 0.3511 | g_loss: 5.5832 2023-06-03 23:50:16 | Epoch [48/50] | Batch 155/509 | d_loss: 0.3909 | g_loss: 3.9523 2023-06-03 23:50:18 | Epoch [48/50] | Batch 160/509 | d_loss: 0.6899 | g_loss: 5.5983 2023-06-03 23:50:19 | Epoch [48/50] | Batch 165/509 | d_loss: 0.3671 | g_loss: 3.9623 2023-06-03 23:50:21 | Epoch [48/50] | Batch 170/509 | d_loss: 0.3735 | g_loss: 4.9485 2023-06-03 23:50:23 | Epoch [48/50] | Batch 175/509 | d_loss: 0.4171 | g_loss: 4.7745 2023-06-03 23:50:24 | Epoch [48/50] | Batch 180/509 | d_loss: 0.3957 | g_loss: 3.7574 2023-06-03 23:50:26 | Epoch [48/50] | Batch 185/509 | d_loss: 0.3886 | g_loss: 3.8227 2023-06-03 23:50:28 | Epoch [48/50] | Batch 190/509 | d_loss: 0.5643 | g_loss: 2.3095 2023-06-03 23:50:29 | Epoch [48/50] | Batch 195/509 | d_loss: 0.3560 | g_loss: 4.2559 2023-06-03 23:50:31 | Epoch [48/50] | Batch 200/509 | d_loss: 0.3780 | g_loss: 4.5769 2023-06-03 23:50:32 | Epoch [48/50] | Batch 205/509 | d_loss: 0.4109 | g_loss: 3.5676 2023-06-03 23:50:34 | Epoch [48/50] | Batch 210/509 | d_loss: 0.4221 | g_loss: 3.0257 2023-06-03 23:50:36 | Epoch [48/50] | Batch 215/509 | d_loss: 0.4103 | g_loss: 3.9257 2023-06-03 23:50:37 | Epoch [48/50] | Batch 220/509 | d_loss: 0.3827 | g_loss: 4.2905 2023-06-03 23:50:39 | Epoch [48/50] | Batch 225/509 | d_loss: 0.4155 | g_loss: 3.5341 2023-06-03 23:50:41 | Epoch [48/50] | Batch 230/509 | d_loss: 0.4367 | g_loss: 3.1526 2023-06-03 23:50:42 | Epoch [48/50] | Batch 235/509 | d_loss: 0.3629 | g_loss: 6.6173 2023-06-03 23:50:44 | Epoch [48/50] | Batch 240/509 | d_loss: 0.3748 | g_loss: 4.8118 2023-06-03 23:50:46 | Epoch [48/50] | Batch 245/509 | d_loss: 0.3850 | g_loss: 3.9310 2023-06-03 23:50:47 | Epoch [48/50] | Batch 250/509 | d_loss: 0.4221 | g_loss: 3.4247 2023-06-03 23:50:49 | Epoch [48/50] | Batch 255/509 | d_loss: 0.4778 | g_loss: 3.7272 2023-06-03 23:50:50 | Epoch [48/50] | Batch 260/509 | d_loss: 0.5378 | g_loss: 1.2537 2023-06-03 23:50:52 | Epoch [48/50] | Batch 265/509 | d_loss: 0.4102 | g_loss: 3.8432 2023-06-03 23:50:54 | Epoch [48/50] | Batch 270/509 | d_loss: 0.3888 | g_loss: 4.3556 2023-06-03 23:50:55 | Epoch [48/50] | Batch 275/509 | d_loss: 0.4745 | g_loss: 4.2692 2023-06-03 23:50:57 | Epoch [48/50] | Batch 280/509 | d_loss: 0.4068 | g_loss: 4.5903 2023-06-03 23:50:59 | Epoch [48/50] | Batch 285/509 | d_loss: 0.3767 | g_loss: 3.7828 2023-06-03 23:51:00 | Epoch [48/50] | Batch 290/509 | d_loss: 0.6009 | g_loss: 2.4902 2023-06-03 23:51:02 | Epoch [48/50] | Batch 295/509 | d_loss: 0.7152 | g_loss: 2.3737 2023-06-03 23:51:04 | Epoch [48/50] | Batch 300/509 | d_loss: 0.4393 | g_loss: 3.9479 2023-06-03 23:51:05 | Epoch [48/50] | Batch 305/509 | d_loss: 0.5302 | g_loss: 4.6801 2023-06-03 23:51:07 | Epoch [48/50] | Batch 310/509 | d_loss: 0.4678 | g_loss: 3.0593 2023-06-03 23:51:08 | Epoch [48/50] | Batch 315/509 | d_loss: 0.3840 | g_loss: 4.6037 2023-06-03 23:51:10 | Epoch [48/50] | Batch 320/509 | d_loss: 0.3864 | g_loss: 3.7382 2023-06-03 23:51:12 | Epoch [48/50] | Batch 325/509 | d_loss: 0.4040 | g_loss: 3.4046 2023-06-03 23:51:13 | Epoch [48/50] | Batch 330/509 | d_loss: 0.4053 | g_loss: 4.6960 2023-06-03 23:51:15 | Epoch [48/50] | Batch 335/509 | d_loss: 0.3822 | g_loss: 3.9224 2023-06-03 23:51:17 | Epoch [48/50] | Batch 340/509 | d_loss: 0.4078 | g_loss: 3.7935 2023-06-03 23:51:18 | Epoch [48/50] | Batch 345/509 | d_loss: 0.4180 | g_loss: 3.9091 2023-06-03 23:51:20 | Epoch [48/50] | Batch 350/509 | d_loss: 0.4571 | g_loss: 4.0970 2023-06-03 23:51:22 | Epoch [48/50] | Batch 355/509 | d_loss: 0.3941 | g_loss: 4.3259 2023-06-03 23:51:23 | Epoch [48/50] | Batch 360/509 | d_loss: 0.3547 | g_loss: 5.0253 2023-06-03 23:51:25 | Epoch [48/50] | Batch 365/509 | d_loss: 0.3947 | g_loss: 4.2252 2023-06-03 23:51:27 | Epoch [48/50] | Batch 370/509 | d_loss: 0.3542 | g_loss: 3.9410 2023-06-03 23:51:28 | Epoch [48/50] | Batch 375/509 | d_loss: 0.3741 | g_loss: 5.0136 2023-06-03 23:51:30 | Epoch [48/50] | Batch 380/509 | d_loss: 0.3763 | g_loss: 5.2999 2023-06-03 23:51:31 | Epoch [48/50] | Batch 385/509 | d_loss: 0.6998 | g_loss: 4.6258 2023-06-03 23:51:33 | Epoch [48/50] | Batch 390/509 | d_loss: 0.4682 | g_loss: 3.5702 2023-06-03 23:51:35 | Epoch [48/50] | Batch 395/509 | d_loss: 0.3745 | g_loss: 4.6036 2023-06-03 23:51:36 | Epoch [48/50] | Batch 400/509 | d_loss: 0.4125 | g_loss: 3.9623 2023-06-03 23:51:38 | Epoch [48/50] | Batch 405/509 | d_loss: 0.3909 | g_loss: 3.8442 2023-06-03 23:51:40 | Epoch [48/50] | Batch 410/509 | d_loss: 0.5106 | g_loss: 4.4296 2023-06-03 23:51:41 | Epoch [48/50] | Batch 415/509 | d_loss: 0.3835 | g_loss: 4.7468 2023-06-03 23:51:43 | Epoch [48/50] | Batch 420/509 | d_loss: 0.4003 | g_loss: 6.4774 2023-06-03 23:51:45 | Epoch [48/50] | Batch 425/509 | d_loss: 0.4113 | g_loss: 4.5921 2023-06-03 23:51:46 | Epoch [48/50] | Batch 430/509 | d_loss: 0.3743 | g_loss: 5.9857 2023-06-03 23:51:48 | Epoch [48/50] | Batch 435/509 | d_loss: 0.4029 | g_loss: 4.9010 2023-06-03 23:51:49 | Epoch [48/50] | Batch 440/509 | d_loss: 0.3750 | g_loss: 4.4101 2023-06-03 23:51:51 | Epoch [48/50] | Batch 445/509 | d_loss: 0.4010 | g_loss: 4.5417 2023-06-03 23:51:53 | Epoch [48/50] | Batch 450/509 | d_loss: 0.4195 | g_loss: 6.3384 2023-06-03 23:51:54 | Epoch [48/50] | Batch 455/509 | d_loss: 0.4147 | g_loss: 4.7551 2023-06-03 23:51:56 | Epoch [48/50] | Batch 460/509 | d_loss: 0.4085 | g_loss: 3.3477 2023-06-03 23:51:58 | Epoch [48/50] | Batch 465/509 | d_loss: 0.3519 | g_loss: 5.0585 2023-06-03 23:51:59 | Epoch [48/50] | Batch 470/509 | d_loss: 0.4004 | g_loss: 2.9382 2023-06-03 23:52:01 | Epoch [48/50] | Batch 475/509 | d_loss: 0.3773 | g_loss: 4.9118 2023-06-03 23:52:03 | Epoch [48/50] | Batch 480/509 | d_loss: 0.3925 | g_loss: 3.3760 2023-06-03 23:52:04 | Epoch [48/50] | Batch 485/509 | d_loss: 0.3745 | g_loss: 4.3860 2023-06-03 23:52:06 | Epoch [48/50] | Batch 490/509 | d_loss: 0.3734 | g_loss: 4.8773 2023-06-03 23:52:08 | Epoch [48/50] | Batch 495/509 | d_loss: 0.3447 | g_loss: 7.9290 2023-06-03 23:52:09 | Epoch [48/50] | Batch 500/509 | d_loss: 0.4596 | g_loss: 3.6084 2023-06-03 23:52:11 | Epoch [48/50] | Batch 505/509 | d_loss: 0.3995 | g_loss: 6.6537
2023-06-03 23:52:13 | Epoch [49/50] | Batch 0/509 | d_loss: 0.3842 | g_loss: 2.5593 2023-06-03 23:52:15 | Epoch [49/50] | Batch 5/509 | d_loss: 0.4005 | g_loss: 4.3695 2023-06-03 23:52:17 | Epoch [49/50] | Batch 10/509 | d_loss: 0.3769 | g_loss: 5.3569 2023-06-03 23:52:18 | Epoch [49/50] | Batch 15/509 | d_loss: 0.4805 | g_loss: 2.9101 2023-06-03 23:52:20 | Epoch [49/50] | Batch 20/509 | d_loss: 0.4197 | g_loss: 3.8134 2023-06-03 23:52:22 | Epoch [49/50] | Batch 25/509 | d_loss: 0.3666 | g_loss: 4.6082 2023-06-03 23:52:23 | Epoch [49/50] | Batch 30/509 | d_loss: 0.3583 | g_loss: 4.8464 2023-06-03 23:52:25 | Epoch [49/50] | Batch 35/509 | d_loss: 0.3422 | g_loss: 5.2786 2023-06-03 23:52:26 | Epoch [49/50] | Batch 40/509 | d_loss: 0.4294 | g_loss: 4.1374 2023-06-03 23:52:28 | Epoch [49/50] | Batch 45/509 | d_loss: 0.3557 | g_loss: 5.4206 2023-06-03 23:52:30 | Epoch [49/50] | Batch 50/509 | d_loss: 0.4063 | g_loss: 2.5170 2023-06-03 23:52:31 | Epoch [49/50] | Batch 55/509 | d_loss: 0.3620 | g_loss: 3.2520 2023-06-03 23:52:33 | Epoch [49/50] | Batch 60/509 | d_loss: 0.3860 | g_loss: 4.3103 2023-06-03 23:52:35 | Epoch [49/50] | Batch 65/509 | d_loss: 0.6269 | g_loss: 4.0984 2023-06-03 23:52:36 | Epoch [49/50] | Batch 70/509 | d_loss: 0.5182 | g_loss: 4.1671 2023-06-03 23:52:38 | Epoch [49/50] | Batch 75/509 | d_loss: 0.4499 | g_loss: 3.9730 2023-06-03 23:52:40 | Epoch [49/50] | Batch 80/509 | d_loss: 0.3992 | g_loss: 5.2577 2023-06-03 23:52:41 | Epoch [49/50] | Batch 85/509 | d_loss: 0.4001 | g_loss: 3.4115 2023-06-03 23:52:43 | Epoch [49/50] | Batch 90/509 | d_loss: 0.3664 | g_loss: 4.6388 2023-06-03 23:52:45 | Epoch [49/50] | Batch 95/509 | d_loss: 0.3909 | g_loss: 4.5218 2023-06-03 23:52:46 | Epoch [49/50] | Batch 100/509 | d_loss: 0.3961 | g_loss: 3.6194 2023-06-03 23:52:48 | Epoch [49/50] | Batch 105/509 | d_loss: 0.3587 | g_loss: 4.8292 2023-06-03 23:52:49 | Epoch [49/50] | Batch 110/509 | d_loss: 0.4920 | g_loss: 3.7798 2023-06-03 23:52:51 | Epoch [49/50] | Batch 115/509 | d_loss: 0.3522 | g_loss: 5.3450 2023-06-03 23:52:53 | Epoch [49/50] | Batch 120/509 | d_loss: 0.5172 | g_loss: 3.6538 2023-06-03 23:52:54 | Epoch [49/50] | Batch 125/509 | d_loss: 0.7710 | g_loss: 1.1043 2023-06-03 23:52:56 | Epoch [49/50] | Batch 130/509 | d_loss: 2.4708 | g_loss: 10.2785 2023-06-03 23:52:58 | Epoch [49/50] | Batch 135/509 | d_loss: 1.2969 | g_loss: 5.3414 2023-06-03 23:52:59 | Epoch [49/50] | Batch 140/509 | d_loss: 0.6225 | g_loss: 2.6844 2023-06-03 23:53:01 | Epoch [49/50] | Batch 145/509 | d_loss: 0.9806 | g_loss: 4.0536 2023-06-03 23:53:03 | Epoch [49/50] | Batch 150/509 | d_loss: 0.5016 | g_loss: 3.2131 2023-06-03 23:53:04 | Epoch [49/50] | Batch 155/509 | d_loss: 0.6258 | g_loss: 3.6909 2023-06-03 23:53:06 | Epoch [49/50] | Batch 160/509 | d_loss: 0.4605 | g_loss: 2.7730 2023-06-03 23:53:07 | Epoch [49/50] | Batch 165/509 | d_loss: 0.9778 | g_loss: 3.9559 2023-06-03 23:53:09 | Epoch [49/50] | Batch 170/509 | d_loss: 0.5041 | g_loss: 3.6914 2023-06-03 23:53:11 | Epoch [49/50] | Batch 175/509 | d_loss: 0.5386 | g_loss: 3.7495 2023-06-03 23:53:12 | Epoch [49/50] | Batch 180/509 | d_loss: 0.4531 | g_loss: 3.3443 2023-06-03 23:53:14 | Epoch [49/50] | Batch 185/509 | d_loss: 0.4970 | g_loss: 3.0220 2023-06-03 23:53:16 | Epoch [49/50] | Batch 190/509 | d_loss: 0.4208 | g_loss: 3.1084 2023-06-03 23:53:17 | Epoch [49/50] | Batch 195/509 | d_loss: 0.5526 | g_loss: 1.7527 2023-06-03 23:53:19 | Epoch [49/50] | Batch 200/509 | d_loss: 0.4285 | g_loss: 3.8020 2023-06-03 23:53:21 | Epoch [49/50] | Batch 205/509 | d_loss: 0.4070 | g_loss: 3.6419 2023-06-03 23:53:22 | Epoch [49/50] | Batch 210/509 | d_loss: 0.6132 | g_loss: 1.7253 2023-06-03 23:53:24 | Epoch [49/50] | Batch 215/509 | d_loss: 0.4478 | g_loss: 3.1003 2023-06-03 23:53:26 | Epoch [49/50] | Batch 220/509 | d_loss: 1.3181 | g_loss: 2.8682 2023-06-03 23:53:27 | Epoch [49/50] | Batch 225/509 | d_loss: 0.4671 | g_loss: 2.5741 2023-06-03 23:53:29 | Epoch [49/50] | Batch 230/509 | d_loss: 0.5095 | g_loss: 3.6686 2023-06-03 23:53:30 | Epoch [49/50] | Batch 235/509 | d_loss: 0.4235 | g_loss: 3.1802 2023-06-03 23:53:32 | Epoch [49/50] | Batch 240/509 | d_loss: 0.4269 | g_loss: 3.6034 2023-06-03 23:53:34 | Epoch [49/50] | Batch 245/509 | d_loss: 0.4399 | g_loss: 3.4191 2023-06-03 23:53:35 | Epoch [49/50] | Batch 250/509 | d_loss: 0.4035 | g_loss: 4.3872 2023-06-03 23:53:37 | Epoch [49/50] | Batch 255/509 | d_loss: 0.3972 | g_loss: 4.0153 2023-06-03 23:53:39 | Epoch [49/50] | Batch 260/509 | d_loss: 0.4501 | g_loss: 3.8467 2023-06-03 23:53:40 | Epoch [49/50] | Batch 265/509 | d_loss: 0.4163 | g_loss: 3.5608 2023-06-03 23:53:42 | Epoch [49/50] | Batch 270/509 | d_loss: 0.4041 | g_loss: 5.1141 2023-06-03 23:53:44 | Epoch [49/50] | Batch 275/509 | d_loss: 0.4340 | g_loss: 3.5793 2023-06-03 23:53:45 | Epoch [49/50] | Batch 280/509 | d_loss: 0.6243 | g_loss: 4.3471 2023-06-03 23:53:47 | Epoch [49/50] | Batch 285/509 | d_loss: 0.3867 | g_loss: 4.9418 2023-06-03 23:53:49 | Epoch [49/50] | Batch 290/509 | d_loss: 0.4107 | g_loss: 3.3336 2023-06-03 23:53:50 | Epoch [49/50] | Batch 295/509 | d_loss: 0.3860 | g_loss: 4.3054 2023-06-03 23:53:52 | Epoch [49/50] | Batch 300/509 | d_loss: 0.5082 | g_loss: 5.0443 2023-06-03 23:53:53 | Epoch [49/50] | Batch 305/509 | d_loss: 0.4352 | g_loss: 3.8684 2023-06-03 23:53:55 | Epoch [49/50] | Batch 310/509 | d_loss: 0.4851 | g_loss: 2.6714 2023-06-03 23:53:57 | Epoch [49/50] | Batch 315/509 | d_loss: 0.3863 | g_loss: 3.8944 2023-06-03 23:53:58 | Epoch [49/50] | Batch 320/509 | d_loss: 0.4071 | g_loss: 3.5630 2023-06-03 23:54:00 | Epoch [49/50] | Batch 325/509 | d_loss: 0.3941 | g_loss: 4.1818 2023-06-03 23:54:02 | Epoch [49/50] | Batch 330/509 | d_loss: 0.3846 | g_loss: 5.4966 2023-06-03 23:54:03 | Epoch [49/50] | Batch 335/509 | d_loss: 0.3869 | g_loss: 3.6099 2023-06-03 23:54:05 | Epoch [49/50] | Batch 340/509 | d_loss: 0.3990 | g_loss: 3.9902 2023-06-03 23:54:07 | Epoch [49/50] | Batch 345/509 | d_loss: 0.3685 | g_loss: 5.1013 2023-06-03 23:54:08 | Epoch [49/50] | Batch 350/509 | d_loss: 0.3523 | g_loss: 5.9963 2023-06-03 23:54:10 | Epoch [49/50] | Batch 355/509 | d_loss: 0.4938 | g_loss: 2.7739 2023-06-03 23:54:11 | Epoch [49/50] | Batch 360/509 | d_loss: 0.5914 | g_loss: 3.1842 2023-06-03 23:54:13 | Epoch [49/50] | Batch 365/509 | d_loss: 0.5703 | g_loss: 4.4137 2023-06-03 23:54:15 | Epoch [49/50] | Batch 370/509 | d_loss: 0.6468 | g_loss: 1.9810 2023-06-03 23:54:16 | Epoch [49/50] | Batch 375/509 | d_loss: 0.4542 | g_loss: 4.3565 2023-06-03 23:54:18 | Epoch [49/50] | Batch 380/509 | d_loss: 0.3938 | g_loss: 4.3772 2023-06-03 23:54:20 | Epoch [49/50] | Batch 385/509 | d_loss: 0.4048 | g_loss: 4.3311 2023-06-03 23:54:21 | Epoch [49/50] | Batch 390/509 | d_loss: 0.5111 | g_loss: 2.8047 2023-06-03 23:54:23 | Epoch [49/50] | Batch 395/509 | d_loss: 0.4217 | g_loss: 3.6870 2023-06-03 23:54:25 | Epoch [49/50] | Batch 400/509 | d_loss: 0.3592 | g_loss: 4.0214 2023-06-03 23:54:26 | Epoch [49/50] | Batch 405/509 | d_loss: 0.3890 | g_loss: 3.5263 2023-06-03 23:54:28 | Epoch [49/50] | Batch 410/509 | d_loss: 0.7123 | g_loss: 3.2332 2023-06-03 23:54:29 | Epoch [49/50] | Batch 415/509 | d_loss: 0.3552 | g_loss: 4.1318 2023-06-03 23:54:31 | Epoch [49/50] | Batch 420/509 | d_loss: 0.3492 | g_loss: 5.2639 2023-06-03 23:54:33 | Epoch [49/50] | Batch 425/509 | d_loss: 0.3951 | g_loss: 4.2705 2023-06-03 23:54:34 | Epoch [49/50] | Batch 430/509 | d_loss: 0.3588 | g_loss: 5.5018 2023-06-03 23:54:36 | Epoch [49/50] | Batch 435/509 | d_loss: 0.4198 | g_loss: 3.4211 2023-06-03 23:54:38 | Epoch [49/50] | Batch 440/509 | d_loss: 0.4446 | g_loss: 5.1832 2023-06-03 23:54:39 | Epoch [49/50] | Batch 445/509 | d_loss: 0.6576 | g_loss: 1.5922 2023-06-03 23:54:41 | Epoch [49/50] | Batch 450/509 | d_loss: 0.4170 | g_loss: 4.9002 2023-06-03 23:54:43 | Epoch [49/50] | Batch 455/509 | d_loss: 0.4934 | g_loss: 4.5475 2023-06-03 23:54:44 | Epoch [49/50] | Batch 460/509 | d_loss: 0.5214 | g_loss: 4.1978 2023-06-03 23:54:46 | Epoch [49/50] | Batch 465/509 | d_loss: 0.5039 | g_loss: 2.7559 2023-06-03 23:54:47 | Epoch [49/50] | Batch 470/509 | d_loss: 0.4734 | g_loss: 3.5504 2023-06-03 23:54:49 | Epoch [49/50] | Batch 475/509 | d_loss: 0.4255 | g_loss: 4.2070 2023-06-03 23:54:51 | Epoch [49/50] | Batch 480/509 | d_loss: 0.4133 | g_loss: 4.1162 2023-06-03 23:54:52 | Epoch [49/50] | Batch 485/509 | d_loss: 0.4072 | g_loss: 3.5465 2023-06-03 23:54:54 | Epoch [49/50] | Batch 490/509 | d_loss: 0.4062 | g_loss: 3.9632 2023-06-03 23:54:56 | Epoch [49/50] | Batch 495/509 | d_loss: 0.3896 | g_loss: 4.5337 2023-06-03 23:54:57 | Epoch [49/50] | Batch 500/509 | d_loss: 0.3720 | g_loss: 4.7742 2023-06-03 23:54:59 | Epoch [49/50] | Batch 505/509 | d_loss: 0.4163 | g_loss: 3.0977
2023-06-03 23:55:01 | Epoch [50/50] | Batch 0/509 | d_loss: 0.5775 | g_loss: 5.1451 2023-06-03 23:55:03 | Epoch [50/50] | Batch 5/509 | d_loss: 0.4222 | g_loss: 4.2436 2023-06-03 23:55:05 | Epoch [50/50] | Batch 10/509 | d_loss: 0.3763 | g_loss: 4.8027 2023-06-03 23:55:06 | Epoch [50/50] | Batch 15/509 | d_loss: 0.3800 | g_loss: 3.9280 2023-06-03 23:55:08 | Epoch [50/50] | Batch 20/509 | d_loss: 0.4275 | g_loss: 3.6192 2023-06-03 23:55:09 | Epoch [50/50] | Batch 25/509 | d_loss: 0.5182 | g_loss: 2.5700 2023-06-03 23:55:11 | Epoch [50/50] | Batch 30/509 | d_loss: 0.3908 | g_loss: 3.4936 2023-06-03 23:55:13 | Epoch [50/50] | Batch 35/509 | d_loss: 0.3660 | g_loss: 5.1719 2023-06-03 23:55:14 | Epoch [50/50] | Batch 40/509 | d_loss: 0.3687 | g_loss: 4.0996 2023-06-03 23:55:16 | Epoch [50/50] | Batch 45/509 | d_loss: 0.3868 | g_loss: 3.3425 2023-06-03 23:55:18 | Epoch [50/50] | Batch 50/509 | d_loss: 0.3727 | g_loss: 3.0217 2023-06-03 23:55:19 | Epoch [50/50] | Batch 55/509 | d_loss: 0.4096 | g_loss: 4.2978 2023-06-03 23:55:21 | Epoch [50/50] | Batch 60/509 | d_loss: 0.4048 | g_loss: 4.1755 2023-06-03 23:55:23 | Epoch [50/50] | Batch 65/509 | d_loss: 0.4194 | g_loss: 4.0558 2023-06-03 23:55:24 | Epoch [50/50] | Batch 70/509 | d_loss: 0.3851 | g_loss: 3.9616 2023-06-03 23:55:26 | Epoch [50/50] | Batch 75/509 | d_loss: 0.4496 | g_loss: 4.5494 2023-06-03 23:55:28 | Epoch [50/50] | Batch 80/509 | d_loss: 0.3849 | g_loss: 4.6580 2023-06-03 23:55:29 | Epoch [50/50] | Batch 85/509 | d_loss: 0.3771 | g_loss: 4.3539 2023-06-03 23:55:31 | Epoch [50/50] | Batch 90/509 | d_loss: 0.6809 | g_loss: 2.9372 2023-06-03 23:55:32 | Epoch [50/50] | Batch 95/509 | d_loss: 0.3644 | g_loss: 6.1561 2023-06-03 23:55:34 | Epoch [50/50] | Batch 100/509 | d_loss: 0.3496 | g_loss: 4.8844 2023-06-03 23:55:36 | Epoch [50/50] | Batch 105/509 | d_loss: 0.4291 | g_loss: 3.9924 2023-06-03 23:55:37 | Epoch [50/50] | Batch 110/509 | d_loss: 0.4126 | g_loss: 3.2837 2023-06-03 23:55:39 | Epoch [50/50] | Batch 115/509 | d_loss: 0.4243 | g_loss: 4.1011 2023-06-03 23:55:41 | Epoch [50/50] | Batch 120/509 | d_loss: 0.3841 | g_loss: 6.6102 2023-06-03 23:55:42 | Epoch [50/50] | Batch 125/509 | d_loss: 0.3677 | g_loss: 4.7588 2023-06-03 23:55:44 | Epoch [50/50] | Batch 130/509 | d_loss: 0.3529 | g_loss: 5.1710 2023-06-03 23:55:46 | Epoch [50/50] | Batch 135/509 | d_loss: 0.4234 | g_loss: 3.6455 2023-06-03 23:55:47 | Epoch [50/50] | Batch 140/509 | d_loss: 0.3545 | g_loss: 4.6661 2023-06-03 23:55:49 | Epoch [50/50] | Batch 145/509 | d_loss: 0.3513 | g_loss: 5.3411 2023-06-03 23:55:50 | Epoch [50/50] | Batch 150/509 | d_loss: 0.3574 | g_loss: 4.2298 2023-06-03 23:55:52 | Epoch [50/50] | Batch 155/509 | d_loss: 0.3652 | g_loss: 3.9119 2023-06-03 23:55:54 | Epoch [50/50] | Batch 160/509 | d_loss: 0.4037 | g_loss: 4.2895 2023-06-03 23:55:55 | Epoch [50/50] | Batch 165/509 | d_loss: 0.3686 | g_loss: 3.5448 2023-06-03 23:55:57 | Epoch [50/50] | Batch 170/509 | d_loss: 0.3509 | g_loss: 5.1798 2023-06-03 23:55:59 | Epoch [50/50] | Batch 175/509 | d_loss: 0.3725 | g_loss: 4.0746 2023-06-03 23:56:00 | Epoch [50/50] | Batch 180/509 | d_loss: 0.3527 | g_loss: 3.6923 2023-06-03 23:56:02 | Epoch [50/50] | Batch 185/509 | d_loss: 0.4683 | g_loss: 4.3817 2023-06-03 23:56:04 | Epoch [50/50] | Batch 190/509 | d_loss: 0.3639 | g_loss: 6.1857 2023-06-03 23:56:05 | Epoch [50/50] | Batch 195/509 | d_loss: 0.3552 | g_loss: 4.2269 2023-06-03 23:56:07 | Epoch [50/50] | Batch 200/509 | d_loss: 0.3521 | g_loss: 5.4196 2023-06-03 23:56:09 | Epoch [50/50] | Batch 205/509 | d_loss: 0.3517 | g_loss: 5.1550 2023-06-03 23:56:10 | Epoch [50/50] | Batch 210/509 | d_loss: 0.3583 | g_loss: 4.8638 2023-06-03 23:56:12 | Epoch [50/50] | Batch 215/509 | d_loss: 0.4432 | g_loss: 5.2736 2023-06-03 23:56:13 | Epoch [50/50] | Batch 220/509 | d_loss: 1.8235 | g_loss: 7.2579 2023-06-03 23:56:15 | Epoch [50/50] | Batch 225/509 | d_loss: 0.7093 | g_loss: 5.1087 2023-06-03 23:56:17 | Epoch [50/50] | Batch 230/509 | d_loss: 0.4974 | g_loss: 3.1555 2023-06-03 23:56:18 | Epoch [50/50] | Batch 235/509 | d_loss: 0.4358 | g_loss: 3.0219 2023-06-03 23:56:20 | Epoch [50/50] | Batch 240/509 | d_loss: 0.4894 | g_loss: 3.0032 2023-06-03 23:56:22 | Epoch [50/50] | Batch 245/509 | d_loss: 0.4052 | g_loss: 4.4993 2023-06-03 23:56:23 | Epoch [50/50] | Batch 250/509 | d_loss: 0.4265 | g_loss: 2.9000 2023-06-03 23:56:25 | Epoch [50/50] | Batch 255/509 | d_loss: 0.4306 | g_loss: 3.1798 2023-06-03 23:56:27 | Epoch [50/50] | Batch 260/509 | d_loss: 0.4270 | g_loss: 3.2180 2023-06-03 23:56:28 | Epoch [50/50] | Batch 265/509 | d_loss: 0.4016 | g_loss: 3.9490 2023-06-03 23:56:30 | Epoch [50/50] | Batch 270/509 | d_loss: 0.3610 | g_loss: 3.9286 2023-06-03 23:56:31 | Epoch [50/50] | Batch 275/509 | d_loss: 0.4235 | g_loss: 3.7490 2023-06-03 23:56:33 | Epoch [50/50] | Batch 280/509 | d_loss: 0.3946 | g_loss: 3.3799 2023-06-03 23:56:35 | Epoch [50/50] | Batch 285/509 | d_loss: 0.4351 | g_loss: 5.9014 2023-06-03 23:56:36 | Epoch [50/50] | Batch 290/509 | d_loss: 4.3007 | g_loss: 6.7506 2023-06-03 23:56:38 | Epoch [50/50] | Batch 295/509 | d_loss: 0.5308 | g_loss: 3.9432 2023-06-03 23:56:40 | Epoch [50/50] | Batch 300/509 | d_loss: 0.8072 | g_loss: 4.3097 2023-06-03 23:56:41 | Epoch [50/50] | Batch 305/509 | d_loss: 0.4568 | g_loss: 4.1329 2023-06-03 23:56:43 | Epoch [50/50] | Batch 310/509 | d_loss: 0.7855 | g_loss: 1.9533 2023-06-03 23:56:45 | Epoch [50/50] | Batch 315/509 | d_loss: 0.4466 | g_loss: 4.2665 2023-06-03 23:56:46 | Epoch [50/50] | Batch 320/509 | d_loss: 0.4242 | g_loss: 3.7620 2023-06-03 23:56:48 | Epoch [50/50] | Batch 325/509 | d_loss: 0.6631 | g_loss: 3.3044 2023-06-03 23:56:49 | Epoch [50/50] | Batch 330/509 | d_loss: 0.5280 | g_loss: 4.3788 2023-06-03 23:56:51 | Epoch [50/50] | Batch 335/509 | d_loss: 0.4541 | g_loss: 3.1559 2023-06-03 23:56:53 | Epoch [50/50] | Batch 340/509 | d_loss: 0.4409 | g_loss: 3.6842 2023-06-03 23:56:54 | Epoch [50/50] | Batch 345/509 | d_loss: 0.4217 | g_loss: 2.9693 2023-06-03 23:56:56 | Epoch [50/50] | Batch 350/509 | d_loss: 0.3753 | g_loss: 3.9375 2023-06-03 23:56:58 | Epoch [50/50] | Batch 355/509 | d_loss: 0.3882 | g_loss: 4.3564 2023-06-03 23:56:59 | Epoch [50/50] | Batch 360/509 | d_loss: 0.3746 | g_loss: 3.6373 2023-06-03 23:57:01 | Epoch [50/50] | Batch 365/509 | d_loss: 0.4221 | g_loss: 3.9549 2023-06-03 23:57:03 | Epoch [50/50] | Batch 370/509 | d_loss: 0.3916 | g_loss: 4.6471 2023-06-03 23:57:04 | Epoch [50/50] | Batch 375/509 | d_loss: 0.3976 | g_loss: 4.5308 2023-06-03 23:57:06 | Epoch [50/50] | Batch 380/509 | d_loss: 0.4183 | g_loss: 4.8653 2023-06-03 23:57:07 | Epoch [50/50] | Batch 385/509 | d_loss: 0.4008 | g_loss: 4.4084 2023-06-03 23:57:09 | Epoch [50/50] | Batch 390/509 | d_loss: 0.3769 | g_loss: 3.4985 2023-06-03 23:57:11 | Epoch [50/50] | Batch 395/509 | d_loss: 0.4114 | g_loss: 3.2181 2023-06-03 23:57:12 | Epoch [50/50] | Batch 400/509 | d_loss: 0.3710 | g_loss: 4.8802 2023-06-03 23:57:14 | Epoch [50/50] | Batch 405/509 | d_loss: 0.3942 | g_loss: 3.4505 2023-06-03 23:57:16 | Epoch [50/50] | Batch 410/509 | d_loss: 0.6752 | g_loss: 6.9085 2023-06-03 23:57:17 | Epoch [50/50] | Batch 415/509 | d_loss: 0.4290 | g_loss: 2.8766 2023-06-03 23:57:19 | Epoch [50/50] | Batch 420/509 | d_loss: 0.7359 | g_loss: 4.2738 2023-06-03 23:57:21 | Epoch [50/50] | Batch 425/509 | d_loss: 0.4225 | g_loss: 3.7644 2023-06-03 23:57:22 | Epoch [50/50] | Batch 430/509 | d_loss: 0.4059 | g_loss: 4.5837 2023-06-03 23:57:24 | Epoch [50/50] | Batch 435/509 | d_loss: 0.3954 | g_loss: 3.8323 2023-06-03 23:57:26 | Epoch [50/50] | Batch 440/509 | d_loss: 0.4034 | g_loss: 3.5468 2023-06-03 23:57:27 | Epoch [50/50] | Batch 445/509 | d_loss: 0.4479 | g_loss: 4.3283 2023-06-03 23:57:29 | Epoch [50/50] | Batch 450/509 | d_loss: 0.4613 | g_loss: 3.2083 2023-06-03 23:57:30 | Epoch [50/50] | Batch 455/509 | d_loss: 0.3749 | g_loss: 4.3079 2023-06-03 23:57:32 | Epoch [50/50] | Batch 460/509 | d_loss: 0.3634 | g_loss: 4.0638 2023-06-03 23:57:34 | Epoch [50/50] | Batch 465/509 | d_loss: 0.4213 | g_loss: 4.9769 2023-06-03 23:57:35 | Epoch [50/50] | Batch 470/509 | d_loss: 0.3884 | g_loss: 3.0100 2023-06-03 23:57:37 | Epoch [50/50] | Batch 475/509 | d_loss: 0.3650 | g_loss: 4.6330 2023-06-03 23:57:39 | Epoch [50/50] | Batch 480/509 | d_loss: 0.3688 | g_loss: 4.2336 2023-06-03 23:57:40 | Epoch [50/50] | Batch 485/509 | d_loss: 0.6088 | g_loss: 5.0864 2023-06-03 23:57:42 | Epoch [50/50] | Batch 490/509 | d_loss: 0.3781 | g_loss: 3.5711 2023-06-03 23:57:44 | Epoch [50/50] | Batch 495/509 | d_loss: 0.3575 | g_loss: 5.5813 2023-06-03 23:57:45 | Epoch [50/50] | Batch 500/509 | d_loss: 0.4479 | g_loss: 4.3170 2023-06-03 23:57:47 | Epoch [50/50] | Batch 505/509 | d_loss: 0.3666 | g_loss: 3.6110
Plot the training losses for the generator and discriminator.
"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
fig, ax = plt.subplots()
losses = np.array(losses)
plt.plot(losses.T[0], label='Discriminator', alpha=0.5)
plt.plot(losses.T[1], label='Generator', alpha=0.5)
plt.title("Training Losses")
plt.legend()
<matplotlib.legend.Legend at 0x7f534ce07a10>
'''Reference :-
1. Udacity DCGAN project and Solution
2. DCGAN TUTORIAL
https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html
3. Modren GAN (BCE loss and Wasserstein Loss) functions'''
'Reference :-\n 1. Udacity DCGAN project and Solution\n 2. DCGAN TUTORIAL\n https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html\n 3. Modren GAN (BCE loss and Wasserstein Loss) functions'
When you answer this question, consider the following factors:
Answer:
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb".
Submit the notebook using the SUBMIT button in the bottom right corner of the Project Workspace.